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Skills DesiredAlgorithms, Analytical Chemistry, Automation, Chemical Analysis, Chemical Biology, Chemical Laboratory, Chemical Synthesis, Chemistry, Collaboration, Creativity, Data Analysis, Drug Development, Innovation, Medicinal Chemistry, Organic Chemistry, Pharmaceutical Industry, Physics, Team

About Charles River AssociatesCharles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provides clients with clear, implementable solutions to complex business concerns. Job OverviewCRA’s Life Sciences practice helps pharmaceutical, biotechnology, diagnostics and medical device companies achieve optimum performance across key aspects of their business, including innovation, commercial success, organization, and reputation, all for the long-term benefit of patients, clinicians, employees, and shareholders. We work with life sciences businesses directly as well as with their legal counsel, industry associations, government organizations, and advocacy groups from the earliest stages of research into new therapy areas, through product development, to the delivery of products that will achieve commercial success and fulfill the expectations of our clients and their key stakeholders.Senior Associates at CRA work on project teams with senior and junior consultants on a variety of client engagements across industries. Senior Associates conduct advanced strategic analysis and assist in the management of consulting projects. They serve as a project manager, direct the work of others, oversee analysis, manage mid-level client relationships, and/or communicate project results. Staff at this level are expected to work independently with minimal supervision.To be successful in this role, you must be able to effectively plan and manage the execution of smaller projects or significant sub-tasks on larger, more complex projects, conceptualize and analyse issues, and perform or direct a wide variety of analytical tasks. We also highly value a strong work ethic, creativity, a positive attitude, and a high level of energy. At this time, we are specifically seeking consultants with strong knowledge of pricing and access systems in Europe and globally.ResponsibilitiesIndependently identify/design analytic tasks and contribute to the development of overall analytic framework for consulting projectsInterface with client representatives to communicate developments and present resultsDraft reports or presentations, or sections of reports or presentationsContribute to project planning and budget management effortsProvide training and technical supervision to less-experienced staff, including reviewing their analyses and providing coaching/directionContribute to business development efforts and draft client proposalsDesired QualificationsBachelor's or Master's degree in life sciences (e.g., biology, biotechnology, biochemistry, pharmacology, chemistry etc.) or a relevant analytical degree, with significant work experience;3-6 years previous consulting experience;Strong skills in quantitative and qualitative analysis methods and techniques;Proven staff and project management skills;Client interaction, facilitation, presentation, budgeting, and project planning skills;Strong knowledge of pricing and market access issues in the European markets (and globally);Occasional travel required.To ApplyTo be considered for this position, we require the following:Resume – please include current address, personal email and telephone number;Cover letter – please describe your interest in CRA and how this role matches your goals.Career Growth and Benefits CRA’s robust skills development programs, including a commitment to offering training annually through formal and informal programs, encouraging you to thrive as an individual and team member. Beginning with skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.Work Location FlexibilityCRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognise that individuals realise a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 day a week on average working in the office (which may include traveling to another CRA office), with specific days determined in coordination with your practice or team.Our Commitment to DiversityCharles River Associates is an equal opportunity employer (Equality Act 2010). As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment.

Job Description SummaryThe Biologics Research Center (BRC) at Novartis BioMedical Research is looking for a motivated and highly experienced leader in field of Physical Chemistry Analytics (PCA) and Mass Spectrometry (MS) to join BRC’s Analytics, Bioanalytics and Formulation unit and help us develop a diverse portfolio of biotherapeutic modalities.Job DescriptionInternal Job Title: Principal Scientist I/IIPosition Location:Cambridge, MA, onsiteThe Biologics Research Center (BRC) at Novartis BioMedical Research is looking for a motivated and highly experienced leader in field of Physical Chemistry Analytics (PCA) and Mass Spectrometry (MS) to join BRC’s Analytics, Bioanalytics and Formulation unit and help us develop a diverse portfolio of biotherapeutic modalities.As a Team Lead for the analytics team, you will demonstrate a broad and in-depth knowledge of technologies in PCA and MS to evaluate the developability of various biologics modalities covered by BRC ranging from traditional antibodies to gene therapy viral vector, ensuring quality of material delivered and eventually enabling candidate selection. You will lead a team of up to 5 associates where you will be responsible for a continuously strong culture of team spirit and integrity, as well as providing development opportunities for associates on different levels. Key responsibilities:Drive the analytics (PCA and MS) strategy in Cambridge, working globally in a matrix organization to support a diverse biologics pipeline (e.g. antibodies, fusion proteins, ADCs, bi- and trispecifics, AAVs, Lentiviruses) transitioning into clinical developmentAct as senior analytics expert in project teams ensuring optimal project support and high quality for all deliverables of your groupFoster streamlined processes and optimal use of capacities as well as continued innovation, incorporating latest technologies and knowledgeEffectively manage resources, project activities, timelines, maintain a strong customer focus and set respective objectives for your teamProvide leadership and clear guidance to the team, optimally leveraging the expertise and experience of individualsDrive a culture of collaboration, integrity, and team development, and ensure a safe, empowering, and inspiring working environmentEssential Requirements:PhD degree or equivalent in biochemistry, biotechnology, chemistry or a related field with 3+ years of related experience in the pharmaceutical industry, with 2+ years of experience as a people manager Strong scientific background in analysis of recombinant proteins (mAb, bi/tri-specific mAbs, therapeutic proteins) by techniques such as mass spectrometry, chromatography, capillary electrophoresis, and light scattering technologiesImplementation and supervision of cutting-edge characterization of PCA techniques for analyzing novel biologics modalities, e.g. multispecific Abs, AAV, ADCs, oligonucleotides, CAR-T’s. This entails the evaluation of novel instrumentation and the development of new applications to existing technologies such as dynamic light scattering, chromatography (SEC, HIC, IEX, RPC), MALS, capillary electrophoresis (cIEF, CZE, CE-SDS), and other advanced technologiesExperience with modern LC-MS techniques (Intact/reduced/subunit RPMS, peptide mapping, released glycans), managing instrumentation (orbitraps, QTOFs) and modern hyphenated MS techniques (SEC-MS, CE-MS). Experience interpreting CDMS results for AAV analysis is beneficial, direct instrument experience not requiredExperience with data analysis workflows and report generationProven ability to lead, coach and develop peopleDistinguished team spirit and scientific driveHigh flexibility combined with excellent organizational and communication skillsCompensation & Benefits:The salary for this position is expected to range between $108,500 and $201,500 per year for Principal Scientist I, and between $119,700 and $222,300 per year for Principal Scientist II. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$108,500.00 - $201,500.00Skills DesiredAnalytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Curious Mindset, Data Analysis, Detail-Oriented, Drug Development, Ethics, Gene Therapy, Immunology, Inventory Management, Machine Learning (ML), Medical Research, Molecular Biology, Python (Programming Language), ScienceSummaryLocation: Cambridge (USA)Type: Full time

Job Description Summary#LI-Hybrid Internal Title: Associate DirectorLocation: Cambridge, MANovartis is a leader in neuroscience and cardiovascular disease areas with a robust and diverse pipeline of innovative therapies. We are seeking a translational modeler eager to accelerate oligonucleotide therapeutics (xRNA”), including antibody-xRNA conjugates, from discovery through clinical translation. In this role, you will partner with multi-disciplinary discovery and preclinical teams to develop and apply model-informed approaches that shape program strategies. As part of a truly translational modeling team, you will also work closely with clinical pharmacology and pharmacometrics groups to support clinical programs, applying quantitative systems pharmacology (QSP) and mechanistic PBPK/PD approaches to inform key decisions from early dose optimization through life-cycle management. This role reports to a Modeling and Simulation (M&S) team lead within the Pharmacokinetic Sciences (PKS) M&S team.Job DescriptionKey responsibilities:Act as the M&S representative on several programs. Develop and execute modeling strategies, contribute to project team discussions, and guide model-informed decisions from therapeutic design to first-in-human dose selection and beyond. Build and apply mechanistic models (PK/PD, QSP, and PBPK/PD) that link drug pharmacology, tissue biodistribution, mechanism(s) of action, and downstream effects. Integrate modeling into the design and interpretation of preclinical in vivo and in vitro studies to support candidate selection, optimization, and advancement towards the clinic. Collaboratively develop platform disease (QSP) and PBPK/PD models that extend across multiple projects and phases of discovery & development. Engage in strategic initiatives within M&S, such as creating platform-level translational modeling strategies tofor new platformsthat impact across projects and developing new and modeling workflows (e.g., agentic AI).Proactively seek opportunities to increase the understanding and adoption of translational modeling among internal partners and expand the impact and visibility of modeling through external collaborations. A modeler at the Associate Director level will have additional mentorship and strategic responsibilities within M&S and will engage in wider platforms and initiatives across Novartis.Essential requirements Ph.D. in biology, bioengineering, pharmaceutical sciences, biophysics, or a related field and 7+ years of industry experience with progressively increasing levels of responsibility.General Modeling Skills: Expert level proficiency in core modeling fundamentals is required, including scripting languages (e.g., MATLAB, R), construction of ordinary differential equation (ODE) models, parameter estimation, and data visualization.Industry Modeling Skills: Expert level proficiency in pharmacokinetics and pharmacodynamics (PK/PD), quantitative systems pharmacology (QSP), and/or mechanistic physiologically based PK/PD (PBPK/PD) is required. Proficiency in pharmacometrics concepts (Population PK, exposure-response modeling) is preferred.Domain Expertise: Prior experience with the integration of computational modeling and biological concepts is required. Role-specific experience in the highlighted disease areas (neuroscience, cardiovascular, metabolism) and drug modalities (oligonucleotides, ADCs) is preferred but not required.Collaboration and Communication: Demonstrated ability to communicate modeling results to a multidisciplinary audience for collaborative work and/or to facilitate strategy and decision-making. Fluent in English (oral and written). This is a hybrid role that requires a balance of in-person and virtual working, with an average of 12 days a month on site in Cambridge, MA.The salary for this position is expected to range between: $152,600 and $283,400 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$152,600.00 - $283,400.00Skills DesiredAlgorithms, Clinical Trials, Data Engineering, Innovation, Mentorship, Simulation Software, Waterfall ModelSummaryLocation: Cambridge (USA)Type: Full time

Job Description Summary#LI-OnsiteInternal job title: Principal Scientist ILocation: Cambridge, United StatesWe are seeking a motivated soluble biomarker expert to lead the development, validation, and implementation of fit-for-purpose soluble biomarker assays, with a focus on immunoassay and LC-MS based methods supporting neuromuscular and muscle disease clinical programs within the Biomarker Development (BMD) Molecular & Cellular Sciences group. This role requires strong hands-on assay development and validation expertise, scientific leadership, and the ability to translate disease biology and program needs into robust biomarker assay strategies that inform clinical decision-making. As a key member of the soluble biomarker group, you will collaborate across BMD and external partner labs to ensure high-quality and timely assay delivery, clear data interpretation, rigorous documentation, and compliance with Novartis standards.Job DescriptionKey Responsibilities: Develop, validate, and implement immunoassay- and LC-MS–based methods to quantify exploratory soluble biomarkers for clinical programs across the Novartis portfolio, with a primary focus on neuromuscular and muscle disease programs.Apply hands-on assay development expertise to build robust, fit-for-purpose biomarker methods that support clinical decision-making and advance translational science objectives.Serve as the scientific and technical lead for exploratory soluble biomarker assays, including assay strategy, data quality, interpretation, documentation, and alignment to context of use and clinical study endpoints.Translate disease biology and program needs into clear biomarker assay plans in partnership with project teams, Translational Medicine, Clinical, Data Science, and external collaborators.Evaluate and implement innovative assay technologies and workflows to improve assay sensitivity, specificity, reproducibility, throughput, and biological relevance for neuromuscular indications.Analyze, interpret, and communicate biomarker and assay data to key stakeholders, project teams, and cross-functional stakeholders to support timely, evidence-based decisions.Partner with internal line functions and external vendors to deliver high-quality fit-for-purpose biomarker assays, and sample analysis activities within agreed timelines.Maintain high standards for scientific rigor, documentation, data integrity, compliance, safety, and technical excellence in accordance with applicable Novartis policies and procedures.Essential Requirements:PhD with 2+ years of experience in drug discovery, translational research, or related field; or Master’s degree with 10+ years of experience in the pharmaceutical/ biotech industry.Strong hands-on experience developing, optimizing, validating, and troubleshooting immunoassays (ELISA, MSD, Luminex, Simoa) and LC-MS methods of varying complexity for soluble biomarkers.Experience with tissue biopsies, particularly muscle tissue, and associated assays or workflows such as IHC/IF, tissue collection, processing, and sample handling best practices.Solid experience supporting neuromuscular, muscle, or related disease biology programs, with the ability to connect assay strategy with the biomarker plan.Demonstrated ability to design rigorous experiments, solve complex technical problems, assess assay performance, and communicate conclusions clearly to scientific and non-scientific stakeholders.Experience working in cross-functional project teams and managing internal or external assay development activities, timelines, deliverables, and scientific documentation.Excellent oral and written communication skills, including the ability to present scientific strategy, data, risks, and recommendations clearly.Commitment to working collaboratively in an inclusive environment and role-modeling Novartis values and behaviors.Desirable Requirements:Experience with genomic, transcriptomic, proteomic, or other multi-omics approaches, including RNA-seq or related platforms.Strong understanding of circulating muscle proteins, including structural and functional biomarkers relevant to muscle disease biology.The salary for this position is expected to range between: $108,500 and $201,500 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$108,500.00 - $201,500.00Skills DesiredAnalytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Curious Mindset, Data Analysis, Detail-Oriented, Drug Development, Ethics, Gene Therapy, Immunology, Inventory Management, Machine Learning (ML), Medical Research, Molecular Biology, Python (Programming Language), ScienceSummaryLocation: Cambridge (USA)Type: Full time

Job DescriptionKey Responsibilities: Lead and develop a global team of US and Europe-based data scientists, driving high-quality data science that is grounded in deep understanding of biology and applicable data science methodologies and approaches. As a member of the Oncology Data Science Leadershi

Job Description Summary#LI-OnsiteLocation: Cambridge, MA, USAAbout the RoleWe are seeking an accomplished Associate Director to join our discovery organization and lead scientific strategy across ADC payloads, linker technologies, and conjugation approaches. This role is central to advancing differentiated antibody-drug conjugates (ADCs) and related targeted therapeutics by integrating deep payload expertise, linker/conjugation knowledge, and biology-driven mechanism-of-action insights.The ideal candidate brings strong industry experience in ADC discovery or development, with a proven track record of applying payload, linker, and conjugation expertise to therapeutic program strategy. You will collaborate closely with cross-functional teams to design, evaluate, and advance next-generation ADC concepts with the goal of delivering transformative therapies to patients.Job DescriptionKey ResponsibilitiesLead scientific strategy for ADC payload selection, linker design, conjugation approaches, and related platform innovationsApply deep expertise across payload classes, mechanisms of action, potency, resistance biology, bystander activity, and tolerability to guide program designPartner with chemistry, biology, protein engineering, pharmacology, translational sciences, and CMC teams to advance next-generation ADCsEvaluate and prioritize novel payloads, linker technologies, and conjugation approaches for internal programs and external opportunitiesProvide biology-driven insights into payload mechanism of action, tumor context, therapeutic index, and combination strategiesDesign and guide experimental strategies to assess ADC activity, selectivity, resistance mechanisms, linker stability, and payload-related pharmacologyContribute to next-generation ADC platform strategy, including differentiated payload-linker concepts and biology-aligned ADC designRepresent payload/linker expertise in cross-functional project teams, governance discussions, and external collaborationsMonitor scientific, clinical, competitive, and IP landscapes related to ADC payloads, linkers, and emerging targeted modalitiesMentor scientists and contribute to a collaborative, high-performing research environmentEssential RequirementsPh.D. in cancer biology, pharmacology, chemical biology, biochemistry, medicinal chemistry, bioengineering, or related discipline5–10 years of relevant industry experience in ADC discovery, targeted therapeutics, or oncology drug discoveryExtensive expertise in ADC payloads, including mechanism of action, potency, resistance biology, and therapeutic index considerationsStrong knowledge of linker and conjugation technologies, including stability, release mechanisms, site-specific conjugation, and developabilityDeep understanding of ADC biology including tumor targeting, internalization, trafficking, payload release, bystander effects, and pharmacologyDemonstrated ability to integrate biology, chemistry, and translational data into actionable program strategiesProven experience leading cross-functional scientific discussions and influencing program directionStrong communication, collaboration, and leadership skillsNovartis Compensation and Benefit Summary: The salary for this position is expected to range between $152,600-$283,400 USD Annual per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$152,600.00 - $283,400.00Skills DesiredAnalytical Skill (Inactive), Analytical Skill (Inactive), Analytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Communication Skills (Inactive), Curious Mindset, Data (Inactive), Data Analysis, Decision Making, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy- Leadership (Inactive), Influence (Inactive), Laboratory (Inactive), Leading Project Teams, Lifesciences (Inactive), Machine Learning (ML), Medical Research {+ 11 more}SummaryLocation: Cambridge (USA)Type: Full time

What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.Job Title: Bioinformatics Scientist/Engineer – DRAGEN ArrayLocation: UK or Germany preferredJob Type: Full-timeExperience Level: SeniorAre you passionate about developing innovative bioinformatics solutions that advance precision medicine? Do you enjoy solving complex scientific challenges through algorithm development, statistical modelling, and software engineering? Do you want to work alongside world-class scientists and engineers on technologies that have a meaningful impact on human health? If so, you could be the perfect fit for our Bioinformatics Scientist / Engineer role within the DRAGEN Array team.Position SummaryThe DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research and precision medicine, delivering scalable computational workflows and analytical capabilities for array and next-generation sequencing (NGS) applications.Working closely with wet-lab scientists, bioinformaticians, product teams, and software engineers, you will develop and implement robust bioinformatics solutions, integrating established community tools alongside novel methods. You will also contribute to software engineering best practices, including testing automation, CI/CD, observability, and software lifecycle management, helping to ensure DRAGEN Array software is reliable, scalable, and ready for production deployment across local and cloud-based environments.What You'll DoLead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.Apply statistical, computational, and machine‑learning methods to large‑scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‑grade software that automates analytical workflows and enables robust analysis at scale.Contribute to and help shape software testing automation, including unit, integration, and regression testing of bioinformatics pipelines.Define and maintain CI/CD workflows to support continuous integration, validation, and reliable delivery of DRAGEN Array software.Implement and evolve telemetry, logging, and monitoring to improve observability, diagnostics, and operational robustness.Execute and improve Software Lifecycle (SLC) practices, including requirements traceability, design documentation, verification, and validation.Use tools such as JAMA (requirements and traceability) and JIRA (planning and execution) to support structured, high‑quality software development.Collaborate closely with wet‑lab scientists, product management, and engineering teams to translate scientific needs into validated computational solutions.For staff level, provide mentorship and technical guidance to other scientists and engineers, and contribute to best practices in algorithm design, software engineering, and data analysis.Why YouYou will bring deep expertise in bioinformatics algorithm development, statistical modelling, and computational genomics, with experience developing production-quality software within scientific or commercial environments. You thrive working across multidisciplinary teams and are passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing technical leadership, influencing scientific direction, and mentoring colleagues will be highly valued.You'll also bring:PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Bioengineering, or a related fieldStrong algorithm development and statistical modelling expertiseExperience with genomic data analysis at scaleProgramming expertise in Python and/or RExperience with production software development practicesKnowledge of testing automation, CI/CD and software lifecycle processesExcellent communication and collaboration skillsWhat can you expectOur team members are bright, energetic and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. Living our values is central to how we work at Illumina. We are passionate about improving human health through genomics and believe that innovation happens when diverse perspectives come together to solve complex challenges. In this role, you will collaborate across scientific and engineering disciplines, act with integrity and accountability, and contribute to an inclusive environment where curiosity, continuous learning, and bold thinking are encouraged. We are looking for individuals who are driven by impact, committed to excellence, and excited to help shape technologies that advance research and precision medicine worldwide.The estimated base salary range for the Bioinformatics Scientist/Engineer – DRAGEN Array role based in United Kingdom is GBP 63.800 - 95.600. The range reflects long‑term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. This salary range applies to the primary posting location listed above. Should the level or location of the role change during the hiring process, the applicable base pay range will be updated accordingly. Compensation ranges for other locations will differ to reflect local market competitiveness and will be shared with candidates if applicable during the recruitment process. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a thoughtfully designed benefits package that supports your wellbeing, flexibility, and life beyond work—combining globally differentiated offerings with locally tailored programs. This includes support during important life moments, flexible time off, opportunities to give back, and a weeklong company-wide summer shutdown. In the UK, we also offer flexible benefits, a company contribution of 10% into your pension, and private medical insurance, alongside additional benefits to support you and your family.We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.SummaryLocation: England - Cambridge; Germany - Remote; Germany - Berlin; England - Hinxton; England - Remote; England - ChesterfordType: Full time

Job Description SummaryThe Associate Dir, Search & Eval (Platforms & AI) is responsible for identifying, evaluating, and prioritizing external AI-enabled technologies, platforms, datasets, models, and companies that can accelerate innovation across Novartis Biomedical Research and Development. The individual will develop competitive landscapes and strategic insights across key AI use cases, conduct diligence on external opportunities by assessing scientific differentiation, technical capabilities, data quality, and strategic fit, and partner closely with internal stakeholders to shape partnering recommendations. In addition, they will support governance and leadership decision-making through opportunity assessments and landscape reviews, while also representing Novartis externally across biotech, technology, venture, academic, and industry forums. Additionally, the role will maintain a deep understanding of emerging AI trends, company landscapes, partnership activity, and competitive deal-making to identify differentiated opportunities that advance Novartis R&D priorities.This role is based in our Cambridge, MA office 3x/week. Please only apply if this works for you.Job DescriptionKey responsibilities:Deliver against S&E and C&BD priorities by supporting AI-focused search, landscaping, triage, and evaluation activities across R&D.Execute structured landscapes in priority AI areas.Conduct initial assessment and triage of inbound and proactively sourced AI opportunities, including review of technical differentiation, data assets, validation evidence, model performance, IP position, implementation requirements, and strategic fit.Partner with internal scientific, clinical, data science, digital, legal/IP, procurement, finance, and BD&L colleagues to develop balanced opportunity assessments and identify key diligence questions.Prepare high-quality materials for internal review and governance, including opportunity summaries, competitive landscapes, diligence updates, and recommendation slides.Support external engagement with AI-focused companies, VCs, academic groups, and technology partners to build Novartis visibility and improve access to differentiated opportunities.Track external deal-making, financing, technology shifts, and competitive moves in AI-enabled drug discovery and development.Maintain organized documentation of AI landscapes, company interactions, triage rationale, and follow-up actions to support portfolio transparency and decision quality.Essential requirements:High-quality and timely evaluation of AI-enabled R&D opportunities.Robust landscape analyses that inform S&E priorities and governance decisions.Effective cross-functional alignment with all relevant stakeholders.Clear, decision-ready documentation of opportunity assessments, diligence findings, and strategic recommendations.Strong contribution to external ecosystem coverage across AI biotech, technology companies, academia, and venture investors.Development and maintenance of an up-to-date AI opportunity knowledge base and company tracking approach.Desirable requirements:Advanced degree in life sciences, computational biology, chemistry, engineering, medicine, data science, or a related field strongly preferred5+ years of experience in biopharma R&D, AI-enabled life sciences, business development, strategy, consulting, venture, data science, computational drug discovery.Strong understanding of drug discovery and development, with ability to evaluate how AI/ML, generative models, foundation models, knowledge graphs, lab automation, and data platforms can create R&D value.Strong understanding of AI-enabled target discovery, chemistry, biologics, translational science, clinical development, or digital/agentic tools.Experience assessing external technologies, companies, scientific platforms, or BD opportunities.Ability to synthesize technical, scientific, strategic, and business considerations into clear recommendations.Professional proficiency in Mandarin Chinese is preferred.Benefits & RewardsThe salary for this position is expected to range between $160,300 and $297,700 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$160,300.00 - $297,700.00Skills DesiredAlliance Management, Business Development, Collaboration, Creativity, Due Diligence, Emergency Management, Media Campaigns, Merchandising, Prioritization, Sales, Waterfall ModelSummaryLocation: Cambridge (USA)Type: Full time

Job Description SummaryThis role is a key scientific leader and integral part of the Oncology Translational Research global leadership team accountable for overseeing the generation and integration of genomic, transcriptomic, and proteomic data to deepen our understanding of cancer biology and guide the development of multiple therapeutic modalities (i.e. low molecular weight molecules, radioligand therapies, biologics, CAR-T). This role will lead both forward and reverse translational research for preclinical and clinical oncology programs, including exploratory clinical biomarker development of high-plex molecular assays. As a senior leader, this role will interface extensively with drug discovery, oncology data sciences, early clinical development, and late-stage development, including the Clinical Innovation team who oversees regulated biomarker assays for clinical decision-making.Job DescriptionKey Responsibilities:Directs successful translation of pre-clinical research to human clinical trials, leveraging learnings from genomic, transcriptomic, and proteomic analyses of both preclinical models and patient samples.Guides exploratory biomarker plan design and strategy for early-stage Translational Clinical Oncology (TCO) and Global Drug Development (GDD) trials, serving as a core member of the Biomarker Review Committee.Integrates pre-clinical and emerging clinical efficacy and biomarker data to understand cancer biology and mechanisms of response and resistance to therapy in patients.Leverages quantitative/computational background to collaborate effectively with Oncology Data Science to analyze high-dimensional preclinical and clinical data to guide clinical decisions and inform research strategy.Explores and onboards innovative technologies to advance translational research and new biomarker development.Responsible for quality and compliance of exploratory molecular biomarker assays.Interfaces closely with late-stage clinical development to enable translational research and development of regulated biomarker assays.Leads a team responsible for driving genomic, transcriptomic, and proteomic preclinical and clinical data creation, enabling Artificial Intelligence / Machine Learning (AI/ML) modeling, and generating actionable insights.Develops talent by being a mentor, coach, and educational resource.Member of the Oncology Translational Research global leadership team and responsible for representing leadership at senior levels/disease boards and other internal/external forums.Essential Requirements:This position will be located at the Cambridge, MA site and will not have the ability to be located remotely. This position will require 10% travel as defined by the business (domestic and/or international).M.D., Ph.D. or comparable doctoral degree in a relevant discipline.6+ years of experience in a pharmaceutical or biotech-based company or as a leader in academia ideally with multiple years in a matrixed leadership role.Outstanding scientific depth and breadth with a demonstrated track record of high-impact publications in the field of oncology and/or molecular pathology.Strong leadership presence and the ability to develop talent; demonstrated ability to lead and influence.Experience working with senior leaders (unit heads, board members), while equally comfortable collaborating with junior associates.Excellent analytical and communication skills.Must have a strong quantitative/computational background and broad scientific/technical knowledge base in the area of oncology, including a solid track record of innovation.Preferred Requirements:Demonstrated leadership and a strong track record of accomplishments within the fields of oncology and molecular pathology (typically >6 years).Completion of a Molecular Genetic Pathology fellowship with board certification from the American Board of Pathology or American Board of Medical Genetics and Genomics.The salary for this position is expected to range between $204,400 and $379,600 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$204,400.00 - $379,600.00Skills DesiredAnalytical Thinking, Analytical Thinking, Bioinformatics, Clinical Data Management, Collaboration, Communication Skills, Critical Thinking, Data Analysis, Detail-Oriented, Drug Discovery, Ethics, Genomics, Global Project Management, Laboratory, Leadership, Lifesciences, Management, Medical Research, Molecular Pathology, Omics, Oncology, Organization, Problem Solving Skills, Regulatory Compliance, Reports Writing {+ 6 more}SummaryLocation: Cambridge (USA)Type: Full time

Job Description Summary#LI-HybridLocation: CambridgeInternal Title: Senior Principal Scientist or Associate DirectorThe Biomarker Development (BMD) group at the Novartis is seeking a Senior Principal Scientist or Associate Director to join our Clinical Imaging and Analytics team and provide strategic, scientific, technical and operational leadership on the optimal use of imaging in drug development. Be part of an imaging department with deep expertise in structural, molecular, and quantitative biomarkers and their application in translation and development. The successful candidate will provide scientific leadership across Oncology (including Radioligand Imaging), Neuroscience, Cardiovascular/Renal/Metabolic, and emerging precision medicine initiatives, including xRNA programs and novel tracer development. You will partner with clinical trial teams to establish the role of imaging endpoints along novel biological mechanisms across diverse therapeutic areas. The role offers a wide view of programs across various stages as they transition from research to early development, and subsequently to PhII/III trials. As a part of building imaging endpoints, the role also provides unique exposure to variety of other critical biomarkers (soluble and genetics) for an integrated view of identifying unique patient populations, assess target engagement and generate decision-critical readouts of efficacy, safety and mechanism of action.Job DescriptionKey Responibilities:Act as an internal expert in molecular and clinical imaging, including PET, SPECT and other advanced imaging methodologies relevant to clinical and translational drug development. Partner with Oncology and General Medicine teams to develop and lead fit-for-purpose imaging strategies across research, early development and late-stage clinical development. Develop imaging biomarker, target engagement and translational imaging strategies that generate decision-critical evidence for patient selection, pharmacodynamics, efficacy, safety and mechanism of action. Collaborate with internal operational teams, imaging CROs, academic centers and external experts to design, execute and interpret imaging readouts across multisite clinical trials. Ensure quality and timely execution of imaging trials to deliver critical drug development decisions; be agile and responsive to clinical teams during the course of design, execution and interpretation of imaging trials.Evaluate and implement novel imaging techniques, quantitative methodologies, AI-enabled analytics and imaging platform capabilities, to improve portfolio decision making.Essential Requirements:PhD or MD or MD/PhD with 8+ years of experience in PET/SPECT Imaging in academia or industry, including at least 5 years supporting clinical drug development.Deep technical expertise in PET and/or SPECT as applied to clinical drug developmentStrong understanding of clinical trial design, endpoint development, biomarker strategy, statistical considerations and clinical data flow is required. Experience with clinical protocol writing across line functions is required. Experience with PET/SPECT tracer development, radioligand imaging, dosimetry, receptor occupancy or clinical Radioligand/Radiopharmaceutical Therapy (RLT/RPT) is a plus. Experience in regulatory interactions, submissions, first-in-human imaging studies, endpoint validation or qualification is a plus.Understanding of sites, budgets, imaging CROs, imaging data standards and experience with multisite trial execution is a plus.Demonstrated track record of innovative research preferably across imaging modalitiesProactive, self-motivated and independent working style; comfortable operating in a multidisciplinary and highly matrixed organization. Ability to drive for results with urgency, accountability and sound judgment while balancing scientific quality and portfolio priorities.Strong communication skills in English, with demonstrated ability to influence, mentor and act as a collaborative servant leader.This is a dual level posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered.The salary for this position is expected to range between:Senior Principal Scientist: $132,300 and $245,700 per year.Associate Director: $145,600 and $270,400 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$132,300.00 - $245,700.00Skills DesiredAnalytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Curious Mindset, Data Analysis, Decision Making, Detail-Oriented, Drug Development, Ethics, Machine Learning (ML), Medical Research, Mentorship, Patient Care, Science, Stakeholder Engagement, Stakeholder ManagementSummaryLocation: Cambridge (USA)Type: Full time

Job Description Summary#LI-HybridLocation: Cambridge, MAJob Description SummaryThe Oncology Data Science (OncDS) team in Biomedical Research provides computational biology, AI, and data expertise and brings together projects spanning the entire pre-clinical to clinical development pipeline across a wide and unique range of novel therapeutics. OncDS specializes in using high-throughput genomic and biomarker data for target identification, drug discovery, and clinical development.We are seeking a motivated and curious Scientific Data Engineer at the beginning of their professional data journey to support the development, maintenance, and modernization of FAIR oncology reference datasets. This role combines hands-on data curation with workflow automation, AI-enabled process improvement, dataset refresh and quality control, and fit-for-purpose data engineering to help ensure that key oncology data assets are reliable, reproducible, and ready for downstream scientific use.This position will work closely with senior team members and cross-functional collaborators to modernize data curation processes, identify opportunities for AI-enabled automation, and contribute to high-value reference datasets that support Oncology-wide data strategy and FAIR data goals. The role is designed to build practical experience in scalable data practices, operational excellence, and automation-driven continuous improvement.Why join us: This is an opportunity to work at the intersection of data engineering, computational biology, and oncology research, contributing to data assets that enable important scientific decisions across the drug discovery pipeline. You will join a collaborative team that values curiosity, learning, and continuous improvement, and you will have the chance to grow your technical and scientific skills while helping build reliable, scalable data foundations for cutting-edge oncology research.Job DescriptionKey responsibilities:Work with senior team members to identify opportunities for simplification, automation, and continuous improvement in operational data processes, including modernization of data curation workflowsSupport the development and improvement of automated workflows for data processing, quality control, recurring dataset updates, and AI-enabled process improvementCollaborate with cross-functional teams to curate, maintain, and improve key oncology reference datasets, with an emphasis on quality, correctness, reproducibility, and operational reliabilityContribute to reference dataset lifecycle management, including documentation, versioning, and traceable update processesAssess dataset structure, integrity, and fitness for downstream scientific use, including attention to identifiers, primary keys, missing values, consistency, and related data quality issues, and help resolve data issues in collaboration with relevant partnersContribute to best practices for reproducible workflows, data handling, and scalable dataset operationsHelp keep oncology reference datasets current, usable, and responsive to evolving scientific and organizational prioritiesEssential Requirements:Degree in bioinformatics, computational biology, data science, computer science, or a related field, or equivalent relevant experienceExperience working with omics datasets in a research environmentProficiency in one or more programming languages used in data science or bioinformatics, such as Python or RExperience with data wrangling, data quality control, and reproducible analysis workflowsFamiliarity with workflow automation and scripting for recurring data processing tasksFamiliarity with database principles and sound data modeling practices, including normalization, primary keys, joins, and thoughtful handling of missing values and data integrity issuesKnowledge of version control and Unix / Linux-based working environmentsStrong organizational skills and attention to detail, with a demonstrated interest in operational excellenceAbility to learn quickly, manage multiple tasks, and work effectively in a collaborative environmentExcellent written and verbal communication skills, and the ability to work effectively across technical and scientific teamsDesirable Requirements:Experience with oncology datasets, translational research data, or biomedical reference data resourcesFamiliarity with FAIR data principles, metadata curation, or scientific data stewardshipExperience maintaining reference datasets or supporting data products used by multiple stakeholdersExperience collaborating with experimental scientists or lab-based partnersNovartis Compensation and Benefit Summary: The salary for this position is expected to range between $103,600 and $192,400 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$103,600.00 - $192,400.00Skills DesiredArtifical Intelligence (AI) (Inactive), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, NLP (NeuroLinguistic Programming) and GenAI (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time

Job Description SummaryLocation: Cambridge or BaselOnsite Relocation is offered for this role. #LI-Onsite The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with deep expertise in digital pathology and a strong curiosity for translational research to join the AI & Innovation Team. This role will apply advanced AI approaches to generate insights from complex imaging datasets and support our oncology drug discovery programs.Job DescriptionKey responsibilities:Develop and apply AI / deep learning approaches to extract insights from digital pathology imaging datasets (e.g., H&E, IHC, mIF, Spatial transcriptomics).Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery.Support imaging biomarker development efforts by analyzing pathology imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances in computational pathology, AI/ML, and spatial biology technologies; contribute to scientific publications; and present results at internal and external scientific conferences.Requirements:Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field. Candidates with MSc in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field, with 4+ years of relevant industry experience will also be considered.Strong experience analyzing pathology imaging modalities including H&E, IHC, multiplex IF, and / or spatial transcriptomics data.Understanding of machine learning methods for segmentation, classification, detection, and representation learning.Experience in one or more of the following areas: generative AI, digital pathology foundation models, geometric deep learning and / or multi-modal learning.Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Strong communication and collaboration skills with the ability to communicate complex data insights and recommendations to cross-functional teams.Strong research skills, evidenced by publications in leading scientific journals and / or conference presentations.RewardsAt Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave. Expected Annual Base Salary Range for role: US: 126,000.00 - 234,000.00 USD AnnualThe salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process. Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics. Read our brochure to learn more about our global total rewards offering: Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$126,000.00 - $234,000.00Skills DesiredArtificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time

The Company \n Ailux is an innovative biotechnology company focused on discovering and developing next-generation biologic therapeutics for chronic respiratory and immunological diseases with high unmet medical need. The company integrates advanced computational approaches with rigorous experimental and translational science across the drug discovery continuum, enabling faster and more informed decision-making from target identification through clinical candidate selection. \n As an AI-native biotech and a subsidiary of XtalPi, Ailux combines proprietary computational models with state-of-the-art wet lab capabilities to design differentiated therapeutics against challenging biological targets. The company has established strategic partnerships with leading pharmaceutical organisations, providing external validation of its scientific platform and discovery capabilities. Looking ahead, Ailux’s vision is to build a fully integrated, end-to-end drug discovery and development organisation capable of delivering the next generation of medicines for patients with chronic respiratory and immunological diseases. By combining advanced AI capabilities with deep biological, translational and clinical insight, the company aims to accelerate the development of differentiated therapeutics with meaningful impact for patients worldwide. \n Backed by an experienced leadership team, leading scientific advisors and a highly multidisciplinary organisation, Ailux is approaching a key inflection point as its first wave of therapeutic programmes advances toward clinical development. This is an opportunity to help shape the scientific foundations, pipeline and culture of a rapidly growing biotechnology company operating at the intersection of AI, translational science and next-generation therapeutics. \n \n The Role \n We are seeking an experienced and strategic Head of In Vivo Pharmacology. We are looking for an experienced, highly skilled and enthusiastic leader of In vivo Pharmacology to join our drug discovery Ailux teams based in China and UK/Europe to establish and lead Ailux’s In vivo teams. Reporting to the VP, Head of In Vivo Bioscience, the role will lead translational and quantitative pharmacology strategies across Ailux’s respiratory and immunology pipeline, enabling rapid, data-driven progression from discovery through early clinical development for novel biologic therapeutics. Working at the interface of computational design, translational biology and preclinical development, you will ensure in vivo considerations are embedded early and translated into clear programme recommendations from hit identification through clinical entry. The role offers the opportunity to shape translational strategy and quantitative decision-making across a next-generation respiratory and immunology pipeline spanning biologics, multi-specifics and peptide therapeutics. \n \n Key Responsibilities \n In Vivo Pharmacology Strategy and Leadership \n\n • Establish and lead Ailux’s In Vivo Pharmacology function, defining scientific strategy, operating model, capabilities and external collaborations.\n, • Build, mentor and develop a high-performing team of in vivo pharmacologists and translational scientists across China and UK/Europe.\n, • Define portfolio-level in vivo strategies to support target validation, candidate selection, mechanism of action and clinical translation.\n, • Provide clear, evidence-based recommendations to guide programme progression, investment decisions and risk management.\n\n \n Scientific Excellence and Translational Pharmacology \n\n • Define and implement in vivo pharmacology strategies supporting target identification, validation, lead optimisation and clinical candidate selection.\n, • Design, oversee and interpret mechanistic and disease-relevant in vivo studies to establish efficacy, pharmacology and therapeutic rationale.\n, • Develop innovative approaches to quantitative pharmacology, integrating PK/PD relationships, biomarkers and translational endpoints.\n, • Ensure appropriate selection, validation and execution of animal models internally and through external partnerships.\n, • Apply deep scientific judgement to critically evaluate model relevance, limitations and translational predictability.\n, • Provide pharmacology expertise to support regulatory submissions and clinical development planning.\n\n \n Cross-Functional Programme Leadership \n\n • Partner closely with biology, DMPK, safety, translational medicine, clinical pharmacology and regulatory teams to deliver integrated programme strategies.\n, • Lead external collaborations with CROs and scientific partners, ensuring quality, timelines and scientific excellence.\n, • Provide in vivo pharmacology input into IND/CTA packages, regulatory briefing documents and interactions.\n, • Support progression of programmes from preclinical development into first-in-human studies.\n\n \n AI and Data-Driven Drug Discovery \n\n • Collaborate with computational scientists to generate high-quality experimental datasets that enhance predictive models and improve decision-making.\n, • Ensure computational outputs are biologically meaningful, experimentally validated and relevant to translational objectives.\n, • Drive integration of AI-enabled approaches into experimental design and pharmacology workflows.\n\n \n Qualifications, Education and Experience \n\n • PhD or equivalent degree in Pharmacology, Immunology, Biology or a related discipline, with significant postdoctoral and pharmaceutical industry experience.\n, • Extensive experience in respiratory and/or immunology drug discovery, with a strong understanding of inflammatory disease biology.\n, • Proven track record of designing and interpreting in vivo pharmacology studies supporting progression of novel therapeutics, ideally biologics and/or complex modalities.\n, • Experience developing medicines from discovery through clinical candidate selection and early clinical development.\n, • Demonstrated ability to critically assess disease models, translational biomarkers and mechanisms of action.\n, • Experience leading, developing and inspiring scientific teams in a matrixed environment.\n, • Strong understanding of clinical landscapes, competitive intelligence and emerging therapeutic approaches in respiratory and immunology.\n, • Established external scientific network and experience managing collaborations with academic groups and CRO partners.\n, • Interest in AI-driven drug discovery and data-centric approaches to medicine development.\n\n \n Leadership Attributes \n\n • Strategic scientific thinker able to influence portfolio decisions and shape research direction.\n, • Comfortable operating in a fast-paced biotechnology environment with high ownership and accountability.\n, • Collaborative leader who builds high-performing multidisciplinary teams.\n, • Able to balance scientific ambition with rigorous decision-making and prioritisation.\n, • Strong communication skills with the ability to influence senior internal and external stakeholders.\n\n \n \n Leadership Experience \n\n • Demonstrated ability to influence portfolio strategy and decision-making within highly matrixed, multidisciplinary environments\n, • Comfortable operating in a fast-paced and evolving biotech environment with high levels of scientific ownership and accountability\n, • Demonstrated ability to build and lead high-impact teams\n, • Interest in AI-driven drug discovery and data-centric approaches\n\n \n Location：Greater Cambridge Area，UK \n

Company Description: Ride Therapeutics is an innovative biotechnology company focused on unlocking the full potential of mRNA and gene editing therapeutics through targeted and tunable delivery. Founded by leading scientists from Harvard University and the University of Cambridge, the company has developed a unique technology platform that addresses delivery challenges at the molecular level. By combining micro- and nano-engineering with advanced data science, Ride aims to enable precise delivery of molecular cargo to specific cell types with controlled release profiles. The team is building a robust capability that supports innovative therapeutic development and offers opportunities for scientists to contribute to cutting-edge research. Applicants joining Ride will be part of a collaborative, science-driven environment with a strong focus on translational impact. \n \n Job title: Scientist (Biology) \n Location: Central Cambridge \n Reports to: Head of Platform Technology \n Summary: Ride Therapeutics are seeking a molecular biologist to contribute to our biology team. The successful candidate will work closely with other team members to carry out and improve molecular biology methods and produce consistent material for other parts of our workflow. \n \n Key responsibilities: \n\n • Carry out and optimise molecular biology processes independently including but not limited to: DNA assembly, protein production, qPCR, NGS\n, • Work on multiplexed reactions using pipetting robots\n, • Characterise DNA, protein, and cellular products\n, • Maintain accurate and current records of experimental work\n, • Improve efficiency and yield of molecular biology reactions\n, • Help out with cellular biology assays as needed\n, • Perform routine laboratory procedures, regular quality control and set up of equipment\n, • Write or contribute to publications, including making presentations at conferences or exhibiting work at academic or industry conferences\n, • Communicate complex ideas and concepts to those with limited knowledge and understanding as well as to peers\n\n \n Skills, qualifications and experience: \n\n • Undergraduate and PhD degrees in Biology, Biochemistry, Chemistry, or a related discipline, and/or significant relevant industry experience.\n, • Experience in the following techniques: qPCR, NGS, Gibson assemblies, ligation, protein production, electrophoresis\n, • Experience with cell biology is a plus\n, • Evidence of high proficiency in experimental design, execution, troubleshooting, data analysis, and communication of results \n, • Evidence of ability to quickly learn new techniques and work in a small team\n, • Evidence of ability to lead, organise and participate in collaborative research projects\n, • 1+ years of prior relevant experience working in industry\n, • Excellent interpersonal, oral, and written communication skills \n, • Evidence of ability to present research findings to a scholarly audience\n, • Desire to be part of a highly collaborative, dynamic, and agile team\n\n \n In your application please include an updated CV as well a cover letter (single PDF). In the cover letter please address the following two points on your experience: \n\n • Please describe your previous experience in scientific research, highlighting any innovative approaches or techniques you have developed or contributed to.\n, • Please provide an example of how you have successfully worked as part of a small scientific team to achieve a research goal.\n

Senior Assay Development Scientist / Consultant \n Cambridge | Permanent, Contract, Interim or Consultancy \n \n We're supporting a well-funded biotech platform company developing a novel sequencing-based assay at the intersection of: \n\n • RNA biology\n, • Nucleic acid chemistry\n, • Selection technologies\n, • NGS readouts\n, • Quantitative assay development\n\n \n This is a role for someone who enjoys digging into complex workflows and understanding exactly where signal is generated, amplified, distorted, or lost. \n \n You'll be helping evaluate and strengthen a highly complex assay by: \n\n • Identifying sources of bias and variability\n, • Understanding assay robustness and reproducibility\n, • Designing controls, standards and spike-ins\n, • Investigating PCR, sequencing and sampling effects\n, • Assessing enrichment and selection-based readouts\n, • Determining whether the final output truly reflects the underlying biology\n\n \n Ideal Background \n You'll likely bring experience in several of the following: \n\n • Quantitative assay development\n, • RNA handling and RNA-based workflows\n, • NGS and sequencing-based assays\n, • Selection or screening platforms\n, • Nucleic acid chemistry\n, • Assay characterisation and validation\n, • Library-based experiments\n, • Primer, probe and RT assay design\n, • Controls, calibrants and reference standards\n, • PCR bias, normalisation and enrichment analysis\n\n \n The Person \n We're looking for someone who: \n\n • Can challenge assumptions with data\n, • Thinks independently\n, • Enjoys troubleshooting difficult scientific problems\n, • Has taken methods from proof-of-concept through to robust, reproducible workflows\n, • Is comfortable providing clear technical recommendations\n\n \n Flexible Engagement \n The team is open-minded on structure and would consider: \n\n • Permanent hires\n, • Contract scientists\n, • Independent consultants\n, • Technical audits\n, • Longer-term collaborations\n

Phage Display - Scientist/Senior Scientist \n \n About Us \n Gastrobody Therapeutics is an early stage, University of Cambridge spin-out company developing ultrastable, orally-administered protein therapeutics to treat gastrointestinal tract diseases, including inflammatory bowel diseases (IBD). Our platform combines computational protein design, protein engineering, and experimental validation to create highly stable, functional therapeutic binders suitable for oral delivery. We are building a multidisciplinary team at the intersection of computational biology, protein engineering, and translational therapeutics. \n \n The Role \n We are seeking to expand our team with an experienced phage/yeast display scientist to join the platform technology team. The successful candidate will apply display technologies to generate, identify, and optimise protein binders against therapeutic targets to support and accelerate our drug discovery programmes. \n This role is ideally suited to a scientist with strong expertise in phage/yeast display and protein engineering who is excited to work in a highly collaborative and fast-paced start-up environment. The candidate will contribute across multiple discovery-stage projects, helping to advance the development of next-generation orally administered biologics. \n The candidate will work in a dynamic, project-focused environment, aiming to accelerate the development of life-changing medicines. \n \n The role will include the following responsibilities \n\n • Employing display technologies to select and optimise protein binders against therapeutic targets, including library design.\n, • Designing and executing display selection campaigns using phage, yeast, or mammalian display platforms.\n, • Screening and validating hits using high-throughput assays including ELISA, Spy-BLI, and cell-based assays.\n, • Analysing and interpreting experimental data to support iterative optimisation of binder affinity, specificity, and developability.\n, • Subcloning plasmid constructs for protein expression and engineering.\n, • Performing protein expression, purification, and biophysical characterisation of engineered binders (BLI, SPR, DSF or DSC).\n, • Supporting library generation and affinity maturation workflows.\n, • Collaborating closely with multidisciplinary scientists across discovery, protein engineering, and computational biology teams.\n\n \n Requirements \n\n • PhD in a relevant area of biology, biochemistry, molecular biology, protein engineering, or related discipline.\n, • At least 3 years of hands-on experience carrying out display campaigns.\n, • Theoretical and practical expertise in phage, yeast, and/or mammalian display technologies and selection methodologies.\n, • Experience working with antibody or protein display libraries.\n, • Strong and evidenced molecular biology & cloning proficiency.\n, • Experience in protein expression, purification, and biochemical and biophysical characterisation.\n, • Ability to work independently in a fast-moving startup environment.\n, • Have strong interpersonal skills and interact effectively with scientists across disciplines to generate timely and informative data.\n\n \n Desirables \n\n • Experience in biophysical techniques (BLI and/or SPR, DSF and/or DSC).\n, • Experience with next-generation sequencing and sequence analysis workflows.\n, • Experience working in a biotech or start-up environment.\n, • Experience with high-throughput screening or automation platforms.\n, • 2+ years of experience post-PhD in academic, start-up, or industry\n\n \n What We Offer \n\n • Opportunity to join a founding scientific team tackling a major challenge in therapeutics\n, • High ownership and scientific impact\n, • Collaborative, interdisciplinary environment\n, • Competitive salary and benefits\n, • Opportunity to shape the scientific direction of the company from an early stage\n\n \n To apply, please send your CV and a brief cover letter outlining your skills, experiences and motivation for why you would be a strong fit for the role. (info@gastrobodytx.com)

\n About ScionxBio\n ScionxBio is engineering the next generation of RNA medicines, combining synthetic chemistry and artificial intelligence to create xRNA — a platform for long‑acting therapeutics. By expanding RNA beyond nature's four‑letter alphabet, we engineer molecules that sustain protein expression for weeks to months rather than days, with a lower immunogenic burden and the durability that chronic disease demands. At the heart of the platform is our TERA® engine, a closed‑loop system in which deep‑learning design, proprietary combinatorial assembly, high‑throughput screening, and continuous model retraining work together to optimise each molecule for its payload. With an initial focus on cardiometabolic disease, we are working to turn transient treatments into durable therapies. A spin‑out from Eleven Therapeutics, we are an international team operating across Cambridge (UK), Tel Aviv, and Cambridge (MA), with our Cambridge (UK) site serving as our largest research and development hub. Role Overview\n The Vice President of Platform is the architect of ScionxBio's core technology engine. Reporting to the CEO and sitting within the company's senior leadership, this individual owns the entire upstream pipeline — from computational design and AI‑driven sequence optimisation through to the formulation and delivery systems that carry our molecules into the body, and onward into the evolution of our next‑generation xRNA modalities. This is a rare opportunity to lead, and continue to build, the platform that defines the company: to set its scientific direction, to shape a multidisciplinary team of exceptional scientists and engineers, and to translate a validated modality into a durable, defensible, and endlessly generative source of medicines. We are looking for a scientific leader who is equally comfortable setting long‑range strategy and engaging deeply with the technical substance of the work. Core Responsibilities\n \n • Computational Biology and AI Innovation\n Lead the development of our proprietary AI/ML models and computational biology pipelines for sequence design, structural prediction, and codon optimisation, with the goal of maximising translation, stability, and tissue specificity. This work is conducted in close collaboration with our strategic advisor. \n • Next‑Generation xRNA Evolution\n Spearhead the continued strategic evolution of our modality, guiding the platform's advance into ever more sophisticated xRNA chemistries and ensuring that it remains firmly at the state of the art. \n • Formulation and LNP Development\n Oversee the formulation engineering team in optimising lipid nanoparticles (LNPs) for targeted, safe, and efficient in vivo delivery, again working in collaboration with our strategic advisor. \n • Platform Scalability\n Ensure that platform discoveries are robust, reproducible, and engineered from the outset with manufacturing scalability in mind, so that what works at the bench translates reliably towards the clinic. \n • Strategic Leadership\n Own the resourcing, planning, and timelines for the platform team, and mentor and grow a multidisciplinary group of data scientists, biologists, and engineers into a high‑performing, collaborative whole. \n • Intellectual Property Generation\n Actively identify and protect novel sequence motifs, AI design algorithms, and proprietary LNP formulations, building and defending the intellectual property moat that underpins the company's long‑term value. \n • Platform Interfacing\n Serve as the pivotal bridge between Platform and Discovery, working closely with our chemistry and biology colleagues to transition optimised candidates smoothly from the Platform team into the Discovery team. \n Qualifications and Experience\n \n • A PhD in a relevant discipline — for example computational biology, bioinformatics, RNA biology, biochemistry, chemical or biomedical engineering, or a closely related field — together with substantial and progressive experience in RNA, oligonucleotide, or nucleic‑acid therapeutics, gained over a senior industry career.\n, • A demonstrable track record of building and leading platform or technology functions in a biotech or pharmaceutical setting, including direct leadership of multidisciplinary teams spanning computation, biology, and engineering.\n, • Deep, hands‑on familiarity with the application of AI and machine learning to molecular design, together with a genuine understanding of the experimental science the platform serves.\n, • Strong knowledge of delivery technologies, in particular LNP formulation for nucleic acids, and of the considerations that carry a discovery‑stage platform towards manufacturable, scalable processes.\n, • A record of intellectual property generation, and the strategic instinct to recognise and protect what is defensible.\n, • Outstanding leadership, communication, and collaboration skills, with the ability to operate effectively across a geographically distributed, multicultural organisation and to translate between technical and strategic audiences.\n What We Offer\n The opportunity to own and shape the defining technology platform of an ambitious, well‑founded biotech at a pivotal moment in its story; a seat within the senior leadership team, with real influence over the company's scientific direction; and the chance to build something durable alongside a talented, international community at the heart of the Cambridge life sciences ecosystem. \n #J-18808-Ljbffr

The Company \n Ailux is an innovative biotechnology company focused on discovering and developing next-generation biologic and peptide therapeutics for chronic respiratory and immunological diseases with high unmet medical need. The company integrates advanced computational approaches with rigorous experimental and translational science across the drug discovery continuum, enabling faster and more informed decision-making from target identification through clinical candidate selection. \n \n As an AI-native biotech and wholly owned subsidiary of XtalPi, Ailux combines proprietary computational models with state-of-the-art wet lab capabilities to design differentiated therapeutics against challenging biological targets. The company has established strategic partnerships with leading pharmaceutical organisations, providing external validation of its scientific platform and discovery capabilities. Looking ahead, Ailux’s vision is to build a fully integrated, end-to-end drug discovery and development organisation capable of delivering the next generation of medicines for patients with chronic respiratory and immunological diseases. By combining advanced AI capabilities with deep biological, translational and clinical insight, the company aims to accelerate the development of differentiated therapeutics with meaningful impact for patients worldwide. \n \n Backed by an experienced leadership team, leading scientific advisors and a highly multidisciplinary organisation, Ailux is approaching a key inflection point as its first wave of therapeutic programmes advances toward clinical development. This is an opportunity to help shape the scientific foundations, pipeline and culture of a rapidly growing biotechnology company operating at the intersection of AI, translational science and next-generation therapeutics. \n \n The Role \n We are seeking an experienced and strategic Head of Drug Safety to establish and lead Ailux’s translational safety sciences capability across its respiratory and immunology pipeline. Reporting to the VP, Head of In Vivo Bioscience, the role will shape nonclinical and translational safety strategies supporting the progression of novel biologics, multi-specific antibodies and peptide therapeutics from discovery through early clinical development. \n Working at the interface of computational design, translational biology and preclinical development, you will integrate mechanistic toxicology, pharmacology, DMPK and emerging clinical insights to enable informed, data-driven programme decisions and successful human translation. \n The role offers the opportunity to shape translational safety strategy across a next-generation respiratory and immunology pipeline spanning biologics, multi-specifics and peptide therapeutics. \n \n Key responsibilities \n Strategic leadership & portfolio impact \n\n • Lead the nonclinical safety strategy across Ailux’s pipeline\n, • Shape candidate selection and go/no-go decisions through integrated mechanistic and translational safety assessment, balancing target biology, therapeutic index, exposure margins and clinical risk.\n, • Partner closely with DMPK, bioscience, translational and clinical teams to integrate PK/PD, exposure-response and safety data into human dose prediction and first-in-human strategy\n, • Partner with Platform Science teams to evaluate and optimise emerging technologies.\n\n \n \n Scientific Oversight (Toxicology & Translational Safety) \n\n • Design and oversee nonclinical safety strategies supporting discovery through IND-enabling development for biologics, multi-specific antibodies and peptide therapeutics\n, • Provide strategic oversight across general toxicology, safety pharmacology, DART (developmental and reproductive toxicology), genotoxicity and investigative toxicology activities\n, • Integrate toxicology, pharmacology, DMPK, biomarker and translational datasets to support mechanistic interpretation and human risk assessment\n, • Interpret animal safety findings within the context of target biology, pharmacology and human relevance, including assessment of species translatability and exaggerated pharmacology risks\n, • Develop translational safety strategies incorporating exposure margins, toxicokinetics, biomarker approaches and emerging clinical data to support dose selection and clinical monitoring plans\n, • Contribute to optimisation of therapeutic index through integrated interpretation of efficacy, exposure and safety datasets\n, • Support first-in-human and early clinical programmes through integrated interpretation of nonclinical and emerging human safety data. Contribute to clinical risk mitigation strategies, safety monitoring approaches and dose escalation recommendations\n\n \n Execution & Programme Leadership \n\n • Oversee the design, execution and interpretation of GLP and non-GLP in vitro and in vivo safety studies across multiple species\n, • Apply quantitative and translational safety approaches, including toxicokinetic modelling and exposure-margin assessment, to support programme decision-making and clinical development strategy\n, • Define safety strategies for complex therapeutic modalities including multi-specific antibodies, engineered biologics, immune modulators, peptides and targeted delivery approaches\n, • Ensure delivery of high-quality, decision-enabling safety data packages supporting portfolio progression\n, • Act as Toxicology Lead on selected programmes, maintaining hands-on scientific contribution and strategic oversight\n\n \n Regulatory leadership \n\n • Lead nonclinical contributions to:\n, • IND / CTA / BLA / MAA submissions\n, • Regulatory briefing documents and responses\n, • Serve as a key scientific representative in regulatory interactions\n, • Ensure alignment between nonclinical findings, clinical strategy, and regulatory expectations\n\n \n Data interpretation & communication \n\n • Translate complex datasets into clear safety narratives and strategic recommendations\n, • Present nonclinical findings to:\n, • Internal leadership and governance boards\n, • External partners and regulators\n, • Ensure consistency and clarity across all safety communications\n\n External scientific presence \n\n • Maintain visibility in the scientific community through:\n, • Publications and conference presentations\n, • Engagement with external experts and advisors\n, • Help position Ailux as a leader in next-generation safety science\n\n Qualifications & experience \n\n • PhD (or equivalent) in toxicology, pharmacology, or related field\n, • ~10–15+ years in nonclinical safety within biotech/pharma\n, • Strong experience in:\n, • Designing toxicology strategies for regulatory submission\n, • GLP/non-GLP study oversight\n, • Regulatory interactions (FDA, EMA, etc.)\n\n Highly valuable \n\n • Experience supporting complex therapeutic modalities including multi-specific antibodies, engineered biologics, immune modulators, peptides and targeted delivery approaches\n, • Understanding of modality-specific safety considerations including exaggerated pharmacology, cytokine-mediated liabilities, immunogenicity, and tissue-specific toxicities\n, • Background in respiratory and Immunology indications preferable.\n, • Exposure to platform technologies or early-stage biotech environments\n\n Core competencies \n\n • Deep expertise in toxicology and nonclinical safety sciences\n, • Strategic thinking across the full drug development lifecycle\n, • Strong leadership with ability to scale teams in a growing company\n, • High adaptability in fast-paced, evolving environments\n, • Exceptional communication and regulatory writing skills\n\n

The Company \n Ailux is an innovative biotechnology company focused on discovering and developing next-generation biologic therapeutics for chronic respiratory and immunological diseases with high unmet medical need. The company integrates advanced computational approaches with rigorous experimental and translational science across the drug discovery continuum, enabling faster and more informed decision-making from target identification through clinical candidate selection. \n As an AI-native biotech and a subsidiary of XtalPi, Ailux combines proprietary computational models with state-of-the-art wet lab capabilities to design differentiated therapeutics against challenging biological targets. The company has established strategic partnerships with leading pharmaceutical organisations, providing external validation of its scientific platform and discovery capabilities. Looking ahead, Ailux’s vision is to build a fully integrated, end-to-end drug discovery and development organisation capable of delivering the next generation of medicines for patients with chronic respiratory and immunological diseases. By combining advanced AI capabilities with deep biological, translational and clinical insight, the company aims to accelerate the development of differentiated therapeutics with meaningful impact for patients worldwide. \n Backed by an experienced leadership team, leading scientific advisors and a highly multidisciplinary organisation, Ailux is approaching a key inflection point as its first wave of therapeutic programmes advances toward clinical development. This is an opportunity to help shape the scientific foundations, pipeline and culture of a rapidly growing biotechnology company operating at the intersection of AI, translational science and next-generation therapeutics. \n The Role \n We are seeking an accomplished and visionary Group Head, Immunology Biology & Program Lead to establish and lead Ailux’s Immunology Biology organization. Reporting to the VP, Head of Biology, Respiratory & Immunology, this individual will play a pivotal role in shaping Ailux's scientific strategy, portfolio direction, and future pipeline growth. \n The successful candidate will lead preclinical biology, translational research, and IND-enabling strategies across Ailux's respiratory and immunology portfolio, driving rapid, data-driven progression from target identification through early clinical development for novel biologics, multispecific antibodies, and peptide therapeutics. \n Working at the intersection of artificial intelligence, computational drug design, disease biology, and translational science, you will ensure that deep biological understanding, disease relevance, and differentiation strategies are embedded at the earliest stages of discovery and translated into clear development recommendations and portfolio decisions. \n This is a unique opportunity to build and shape Immunology Biology function from the ground up while working at the forefront of AI-enabled drug discovery and partnering closely with AI scientists, protein engineers, and translational experts to develop next-generation medicines. You will have significant influence on target selection, program prioritization, and portfolio strategy while helping unlock the full potential of AI-driven drug discovery. \n \n Key Responsibilities \n Scientific Leadership & Strategy \n\n • Establish and lead Ailux's Immunology Biology team, defining scientific strategy, operating model, organizational structure, and long-term functional vision.\n, • Build, recruit, develop, and inspire a high-performing multidisciplinary biology team spanning discovery biology, translational biology, and project leadership.\n, • Define and execute biology strategies supporting both target discovery and program progression from concept through IND and early clinical development\n, • Drive disease biology understanding and establish robust in vitro and in vivo evidence linking targets and mechanisms to clinical outcomes.\n, • Influence portfolio prioritization and investment decisions through clear, data-driven, and risk-balanced recommendations.\n, • Identify emerging scientific opportunities, new targets, and innovative therapeutic strategies that can expand Ailux's pipeline and competitive differentiation.\n, • Ensure rigorous scientific standards, robust experimental design, and high-quality decision-making across all programs.\n\n \n AI-Driven Discovery & Platform Integration \n\n • Partner closely with AI and computational scientists to maximize the impact of machine learning and computational design approaches.\n, • Generate high-quality biological and translational datasets that continuously improve predictive models and accelerate decision-making.\n, • Apply deep biological expertise to ensure AI-generated hypotheses, targets, and molecules are biologically meaningful and clinically relevant.\n, • Help define new workflows that integrate AI-powered target discovery, biologics design, and translational validation.\n, • Champion a data-centric culture that fully exploits the potential of AI to accelerate drug discovery timelines and expand therapeutic innovation.\n\n \n Cross-Functional Collaboration \n\n • Collaborate closely with Biology, Protein Engineering, AI Drug Design, Translational Sciences, CMC, Toxicology, Regulatory, and Clinical Development teams to deliver integrated program strategies.\n, • Provide immunology leadership for regulatory interactions and documentation, including IND/CTA submissions, briefing packages, and health authority responses.\n, • Identify, select, and manage external collaborators, academic partnerships, and CROs to ensure scientific excellence and operational efficiency.\n, • Represent biology and immunology expertise in governance and portfolio review forums.\n\n \n Qualifications, Education & Experience \n\n • PhD (or equivalent advanced degree) in Immunology, Biology, Pharmacology, or a related scientific discipline.\n, • >7-10 years pharmaceutical industry experience in immunology drug discovery and development.\n, • Demonstrated track record of progressing discovery programs through candidate selection and into clinical development.\n, • Experience leading multidisciplinary teams and influencing organizational and portfolio decisions within matrixed environments.\n, • Strong record of scientific innovation, strategic thinking, and translational problem-solving.\n, • Experience with advanced therapeutic modalities including Monoclonal antibodies, Multispecific antibodies, Engineered biologics, Peptide therapeutics, Long-acting delivery platforms\n, • Strong understanding of immune-mediated diseases and evolving therapeutic landscapes.\n\n \n Leadership Experience \n\n • Proven ability to build, lead, and develop high-performing scientific organizations.\n, • Demonstrated success influencing portfolio strategy, investment decisions, and program direction in highly matrixed environments.\n, • Strong people leadership experience, including recruitment, mentoring, talent development, and succession planning.\n, • Ability to thrive in a fast-moving biotech environment that values scientific excellence, innovation, ownership, and accountability.\n, • Passion for transforming drug discovery through AI, computational biology, and data-driven decision-making.\n\n \n Ideal Candidate Profile \n The ideal candidate is a scientifically ambitious leader who combines deep immunology expertise with strategic vision, strong people leadership, and enthusiasm for AI-enabled drug discovery. They are excited by the opportunity to shape both an organization and a portfolio, leveraging next-generation computational technologies to discover and develop transformative medicines for patients with immune-mediated diseases. Location: UK，Greater London or Cambridge. This role requires international travel.

Skills DesiredAnalytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Curious Mindset, Data Analysis, Detail-Oriented, Ethics, Gene Therapy, Immunology, Machine Learning (ML), Mammalian Cell Culture, Medical Research, Molecular Biology, Patient Care, Scie

JUnit, Mocha/Jest)Mindset: A strong sense of ownership, an agile mindset, and excellent English communication skillsExperience working with RDF databases / graph databases and querying with SPARQLA passion or academic interest in materials science, chemistry, biology, or scientific informatics softw

Job Title: Translational Science LeadLocation: CambridgeSalary: CompetitiveIntroduction to role:Are you ready to convert human biology into decisive clinical evidence that transforms how we treat respiratory disease? Can you see yourself shaping biomarker strategies that define who benefits most

Lab Informatics EngineerSlough, UK The actual location of this job is in Slough, United Kingdom.Join Lonza’s Biologics R&D team and play a pivotal role in shaping the digital future of laboratory science. As a Lab Informatics Engineer, you will work at the intersection of science, data, and engineering to build connected, scalable lab informatics solutions that accelerate innovation and empower researchers.What you will get:An agile career and dynamic working culture.An inclusive and ethical workplace.Compensation programs that recognize high performance.A variety of benefits dependent on role and location.The full list of our global benefits can be found here:What you will do:Lead the implementation, configuration, and optimization of laboratory informatics systems (e.g., ELN, LIMS, SDMS) to enhance scientific workflows.Partner with R&D scientists to translate experimental processes into structured, scalable digital solutions.Design and implement data models, templates, metadata structures, and workflows aligned with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.Build and maintain integrations between lab platforms, analytics tools, automation systems, and cloud-based environments using APIs and middleware.Develop robust data flows that improve interoperability, reduce manual effort, and ensure high-quality experimental data capture.Contribute to digital architecture discussions and help shape the evolution of Lonza’s R&D data ecosystem.Deliver user training, documentation, and ongoing support to drive adoption and continuous improvement of digital lab solutions.This role offers the opportunity to influence digital transformation in a cutting-edge R&D environment while collaborating with cross-functional teams including scientists, automation engineers, and IT specialists.What we are looking for:MSc (or equivalent) in Bioinformatics, Biology, Chemistry, Engineering, or a related scientific field.Experience working within pharma, biotech, or life sciences R&D environments.Hands-on experience implementing or optimizing laboratory informatics systems (e.g., ELN, LIMS, SDMS).Strong understanding of scientific workflows and experimental data lifecycle management.Experience with data modelling concepts and metadata standards; familiarity with FAIR data principles is highly desirable.Programming or scripting experience (e.g., Python, R, SQL) and experience integrating systems using APIs (REST, GraphQL).Strong communication skills with the ability to collaborate effectively across scientific and technical teams.Experience with cloud platforms (Azure, AWS, GCP), laboratory automation systems, or bioinformatics data pipelines would be an advantage.We welcome candidates with transferable technical and digital skills who are motivated to apply their expertise in a scientific R&D setting.About LonzaAt Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.Ready to shape the future of life sciences? Apply now.SummaryLocation: UK - Slough; UK - CambridgeType: Full time

About Charles River AssociatesCharles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provides clients with clear, implementable solutions to complex business concerns. Job OverviewCRA’s Life Sciences practice helps pharmaceutical, biotechnology, diagnostics and medical device companies achieve optimum performance across key aspects of their business, including innovation, commercial success, organization, and reputation, all for the long-term benefit of patients, clinicians, employees, and shareholders. We work with life sciences businesses directly as well as with their legal counsel, industry associations, government organizations, and advocacy groups from the earliest stages of research into new therapy areas, through product development, to the delivery of products that will achieve commercial success and fulfill the expectations of our clients and their key stakeholders.Associate Principals at CRA work on project teams with senior and junior consultants on a variety of client engagements across industries. Associate Principals conduct advanced strategic analysis and assist in the management of consulting projects. They serve as a project manager, direct the work of others, oversee analysis, manage mid-level client relationships, and/or communicate project results. Staff at this level are expected to work independently with minimal supervision.To be successful in this role, you must be able to effectively plan and manage the execution of smaller projects or significant sub-tasks on larger, more complex projects, conceptualize and analyse issues, and perform or direct a wide variety of analytical tasks. We also highly value a strong work ethic, creativity, a positive attitude, and a high level of energy. At this time, we are specifically seeking consultants with strong knowledge of pricing and access systems in Europe and globally.ResponsibilitiesIndependently identify/design analytic tasks and contribute to the development of overall analytic framework for consulting projects;Interface with client representatives to communicate developments and present results;Draft reports or presentations, or sections of reports or presentations;Contribute to project planning and budget management efforts;Provide training and technical supervision to less-experienced staff, including reviewing their analyses and providing coaching/direction;Contribute to business development efforts and draft client proposals.Desired QualificationsBachelors or Masters in life sciences (e.g., biology, biotechnology, biochemistry, pharmacology, chemistry etc.) or a relevant analytical degree, with significant work experience;5-7 years previous consulting experience;Strong skills in quantitative and qualitative analysis methods and techniques;Proven staff and project management skills;Client interaction, facilitation, presentation, budgeting, and project planning skills;Strong knowledge of pricing and market access issues in the European markets (and globally);Occasional travel required.To ApplyTo be considered for this position, we require the following:Resume – please include current address, personal email and telephone number;Cover letter – please describe your interest in CRA and how this role matches your goals.Career Growth and Benefits CRA’s robust skills development programs, including a commitment to offering training annually through formal and informal programs, encouraging you to thrive as an individual and team member. Beginning with skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.Work Location FlexibilityCRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognise that individuals realise a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 day a week on average working in the office (which may include traveling to another CRA office), with specific days determined in coordination with your practice or team.Our Commitment to DiversityCharles River Associates is an equal opportunity employer (Equality Act 2010). As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment.

Lead Scientist – Cell Expression TechnologiesLocation. Cambridge, UKThe actual location of this job is in Cambridge, UK. Relocation assistance is available for eligible candidates and their families, if needed.Join Lonza’s team in Cambridge and help shape the next generation of mammalian cell expression technologies. As Lead Scientist, you will lead innovative R&D projects developing industrially relevant CHO expression platforms for complex therapeutic proteins, with approximately 80% of your time spent hands-on in the laboratory.This is a fully site-based role. Working together in person supports close, real-time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards.What you will get:An agile career and dynamic working culture.An inclusive and ethical workplace.Compensation programs that recognize high performance.A variety of benefits dependent on role and location.The full list of our global benefits can be found here: .What you will do:Lead key mammalian cell expression projects, spending approximately 80% of your time performing hands-on laboratory work and driving delivery of project goals.Develop and contribute to next-generation CHO-based expression hosts for the production of complex therapeutic proteins, including transferring new technologies towards GMP manufacturing.Engineer mammalian cell lines using approaches including random and targeted integration and CRISPR-based gene editing, and develop expression vectors using state-of-the-art molecular biology and assembly techniques.Characterise engineered cell lines using a range of analytical approaches, including NGS, ddPCR, qPCR, flow cytometry and advanced cell culture techniques.Analyse, evaluate and sign off experimental data, maintaining high-quality, traceable records and communicating findings through clear written and oral reports.Collaborate with cross-functional teams and mentor junior scientists, supporting knowledge sharing, technical development and delivery of expression solutions.Build world-leading expertise in mammalian expression systems through technology development, idea generation, internal stakeholder engagement and ownership of proof-of-concept projects.What we are looking for:A PhD or equivalent advanced scientific qualification, combined with relevant R&D experience in an academic or industrial environment.Strong practical expertise in CHO cell line engineering and mammalian expression system development.Hands-on experience in molecular biology, including the development and manipulation of expression systems.Experience using cell line engineering and characterisation techniques, with the ability to design, execute and interpret complex experiments.Demonstrated experience leading scientific projects, mentoring colleagues and contributing to technology development and transfer towards GMP manufacturing.Strong collaboration, communication and problem-solving skills, with a proactive approach to working across disciplines.Working knowledge of experimental design and statistics, with the ability to turn complex experimental data into clear, actionable conclusions.About LonzaAt Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.Ready to shape the future of life sciences? Apply now.SummaryLocation: UK - CambridgeType: Full time

Job Description SummaryThe Discovery Sciences (DSc) department at Novartis Biomedical Research (BR), merges groundbreaking technical capabilities with deep scientific expertise to deliver bold innovations at the forefront of science. As a member of the DSc Operations Team, you will be a critical resource within the organization to manage business operations which enable the development of novel drug targets and new therapeutics. We are seeking a hands-on Business Operations Lead with a particular passion for data and knowledge management, eager to lead the execution of our business operations to support the dynamic operations of a large research department.Job DescriptionInternal Job Title: Business Operations LeadPosition Location: Cambridge, MA, onsite** This role is based in Cambridge, MA, USA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.About the Role:The Discovery Sciences (DSc) department at Novartis Biomedical Research (BR), merges groundbreaking technical capabilities with deep scientific expertise to deliver bold innovations at the forefront of science. As a member of the DSc Operations Team, you will be a critical resource within the organization to manage business operations which enable the development of novel drug targets and new therapeutics. We are seeking a hands-on Business Operations Lead with a particular passion for data and knowledge management, eager to lead the execution of our business operations to support the dynamic operations of a large research department.Key responsibilities:Execute and optimize our financial plan: In partnership with Finance and other support functions, execute the ordering and financial administration of our scientific strategy. Act as a key subject matter expert in the tools and processes to execute the business of our research operations. Financial acumen will be required.Resolve issues. Be an enabling force in the support of DSc scientists to resolve operational challenges, manage issues and navigate complexity; especially when it comes to our financial data, vendor management, research collaborations, and people data. Rely on local and global support resources to remediate issues and advance our upstream processes to avoid issues in the first place.Deliver simplicity from complexity. Through report design and data management, enable DSc leaders with clean, accessible, and timely data related to their budget, lab resources, people and compliance to drive effective decision making in the organization. Proactively launch and lead initiatives to resolve any operational data issues and delivery new processes or programs.Effectively work within an organizational matrix. Establish and maintain relationships with DSc researchers and the BR Operations community to ensure alignment and execution of departmental and BR objectives. Operate within a matrix organization of support functions and third-party vendors to provide effective support of DSc and BR operations.Realize our technology strategy: Manage the planning, ordering, delivery, and realization of lab technologies including complex, integrated equipment systems.Support global departmental evolution: Proactively lead projects and design operational programs that support department priorities, including cross-functional coordination with user groups and support functions.Essential Requirements:B.S. or M.S. degree in a scientific or management discipline with 3+ years in a business or lab operations capacity; or 5+ years working in a biology or chemistry research environment with operational accountabilities.A love for problem solving! Strong collaboration and organizational skills along with a proven attentiveness to detail are required. Must be solution oriented with comfort to exercise independent discretion and judgment to solve problems and prioritize effectively in a global and highly matrixed environmentA user-oriented mentality and experience supporting others – specifically motivated to enable all of our associates with a track record of building relationships and engaging others in work.Strong information management and digital skillset that includes advanced knowledge of enterprise-level accounting, procurement and collaboration software.Project management, operational excellence, and design thinking skillsets with experience initiating and leading assignments with a proven ability to positively impact project goals.Desirable Requirements:Demonstrated ability to optimize business processes with AI tools is highly desirable.A candidate willing to infuse creativity into operational tasks is strongly desired.Compensation and Benefits:The salary for this position is expected to range between $85,400 and $158,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$85,400.00 - $158,600.00Skills DesiredClinical Study Reports, Waterfall ModelSummaryLocation: Cambridge (USA)Type: Full time

Job Description Summary#LI-Onsite Location: Cambridge, MAThis position is located in Cambridge, MA and does not have the ability to be located remotely. Please only apply if this area is accessible to you.Over 40 therapies in the clinic! NIBR Oncology strives to reimagine medicines for cancer patients through a combination of treatment approaches including targeted therapies, immunotherapies, CAR-T, and radioligand therapy. NIBR is seeking an in vivo scientist to join our Oncology Pharmacology team in Cambridge, MA. The successful candidate will join a dynamic, multi-disciplinary team and play a key role in the development and application of in vivo models for evaluating novel cancer therapies and advancing the early-stage drug discovery pipeline. This is a labhead-based position, where the ideal candidate is expected to lead efforts in the design and execution of in vivo anti-tumor efficacy and PK/PD studies aimed at evaluating drug candidates in CDX, PDX, and syngeneic models. Applicants are expected to develop novel in vivo assays to interrogate key scientific questions and deliver high-value translationally relevant data that can inform clinical development. Qualified candidates will have extensive experience in a variety of molecular biology skills. A strong background and expertise in antibody drug conjugates is preferred. We are looking for highly motivated, inquisitive, and creative individuals, who thrive in a highly matrixed work environment, and can effectively communicate within multidisciplinary project teams.Job DescriptionResponsibilities:Design pre-clinical in vivo studies to explore novel hypotheses, screen candidate molecules, and establish proof-of-concept of new modalitiesDevelop in vivo CDX, PDX, and syngeneic models to evaluate anti-tumor activity, PK/PD relationships, relevant biomarkers, and key translational questionsManage associate-level scientistsCollaborate with cross-functional project teamsCritically analyze and present results within a multidisciplinary team environmentCareful adherence to animal protocols and proper documentation of data and methods in electronic laboratory notebookQualifications:PhD with 5-8 years of research experience as a postdoc or in the pharmaceutical/biotech industryDeep knowledge of antibody drug conjugatesExtensive experience working with CDX and PDX xenograft tumor models and/or syngeneic modelsExpertise in cell culture, PCR, ELISA, western blot, and flow cytometryStrong analytical, communication (written and verbal), and organizational skills, including a proficiency with PowerPoint and commonly used data analysis programs, such as Prism and ExcelNovartis Compensation and Benefit Summary: The salary for this position is expected to range between $126,000 and $234,000 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$126,000.00 - $234,000.00Skills DesiredAnalytical Skill (Inactive), Analytical Skill (Inactive), Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills (Inactive), Curious Mindset, Data (Inactive), Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory (Inactive), Leading Project Teams, Lifesciences (Inactive), Machine Learning (ML), Management (Inactive), Medical Research {+ 10 more}SummaryLocation: Cambridge (USA)Type: Full time

Job Description SummaryThis role is responsible for designing, developing, implementing and maintaining laboratory robotics which support exploratory biology in an automated fashion. The work is hands-on and requires a broad range of engineering disciplines including project management, troubleshooting electrical and mechanical parts, developing protocols, liquid handling, and providing operating system validation/verification. The team's focus is to design, build, maintain, and improve large and small automated systems for high throughput screening and automated cell culture.Job DescriptionInternal Job Title: Senior Automation Engineer IPosition Location: Cambridge, MA onsiteThis role is responsible for designing, developing, implementing and maintaining laboratory robotics which support exploratory biology in an automated fashion. The work is hands-on and requires a broad range of engineering disciplines including project management, troubleshooting electrical and mechanical parts, developing protocols, liquid handling, and providing operating system validation/verification. The team's focus is to design, build, maintain, and improve large and small automated systems for high throughput screening and automated cell culture.Key Responsibilities:Act as a primary support engineer for laboratory automation and instrumentation within DSc in Cambridge, MA. Responsible for the setup, operation, and maintenance of state-of-the-art high throughput screening (HTS) systems.Working with scientists to adapt biological assays from the bench to fully automated assays using high throughput screening systems. Knowledge of Biosero Orchestrator and Green Button Go scheduling software is highly desirable.Act as project manager for small- and large-scale automation projects. The successful candidate will manage, plan, develop, and execute laboratory automation projects from start-up to completion.Work effectively with multi-disciplinary groups and individuals to implement solutions that reflect operational efficiencies in terms of throughput, delivery, costs, as well as health, safety and environmental considerations.Establish, monitor, and maintain a stable and productive automation environment through QC and preventative maintenance.Assist in the development of SOP’s, maintenance manuals, start-up procedures, and provide training to new users of equipment.Must be self-motivated with the ability to multitask and effectively manage timelines.Must be able to work independently and in team situations.Essential Requirements:B.S. in mechanical, electrical or bioengineering, or similar engineering discipline.3+ years experience servicing and implementing automated systems.Experience designing, building and deploying automated laboratory workflows in life sciences or clinical laboratories.Strong organizational, written, and verbal communications skills required to interact effectively between scientific staff, customers, key stakeholders, and vendors.Strong computer skills including MS Office and CAD (preferably SolidWorks).Strong troubleshooting and problem-solving skills.Desirable Requirements:In addition to the experience above, the ideal candidate would have familiarity with the following systems and associated software: Biosero Orchestrator / Green Button Go robotic platforms, HighRes BioSolutions (Staubli/Denso/Precise) / Cellario robotic platforms, CellTrio RoboCell, Beckman Echo, GNF Director robotic platforms, and a wide range of laboratory benchtop equipment.Basic understanding of C# or equivalent programming language.Interest in the evaluation, integration, and optimization of AI models and orchestration frameworks.Familiarity with data analysis platforms like Genedata Screener, Spotfire and AI agents.Experience working with engineers and scientists to develop new automated platforms.Create innovative solutions to support complex biological assays at scale.Experience integrating automated systems to LIMS and other scientific data systems, either in-house or commercially available, to support reliable data capture, transfer, traceability, and downstream analysis.The salary for this position is expected to range between $93,800 and $174,200 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here. EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$93,800.00 - $174,200.00Skills DesiredData Analysis, Problem Solving, Structural BiologySummaryLocation: Cambridge (USA)Type: Full time

The Opportunity: Senior Histology Technician (12-Month Temporary Contract) Location: Cambridge, UK Avantor Services provides on-site Laboratory and Materials Management Services to leading pharmaceutical organisations. We are currently seeking a Senior Histology Technician to join our team supporting the our client`s Translational Pathology Laboratories in Cambridge. This is an exciting opportunity to work within a highly collaborative Biomarker Science & Technologies / Translational Pathology environment, supporting tissue-based activities across multiple drug development programmes from early research through to clinical development. The Role This is a hands-on laboratory position providing operational and technical histology support within a regulated environment. The successful candidate will play a key role in delivering high-quality histology services while ensuring compliance with all applicable procedures and regulations. Key responsibilities include: Histological sectioning and tissue handling Tissue Microarray (TMA) construction Cell pellet processing Supporting selected staining activities using manual and automated methods Laboratory equipment maintenance and routine operational support Accurate completion of laboratory documentation and records Working in accordance with Good Clinical Practice (GCP), Standard Operating Procedures (SOPs), and Human Tissue Act (HTA) requirements Supporting a multidisciplinary team across translational pathology projects About You To be successful in this role, you will have: BSc degree in a relevant scientific discipline or equivalent experience At least 1 year of experience within histology, pathology, tissue-based laboratory operations , or another regulated laboratory environment Experience in histological sectioning and tissue processing Experience with Tissue Microarray (TMA) construction and/or cell pellet processing Experience performing or supporting staining activities Experience maintaining laboratory equipment and supporting laboratory operations Knowledge of GCP regulations and compliant laboratory practices Understanding of regulations governing the ethical use and handling of human tissue samples Excellent attention to detail and strong documentation skills Ability to work effectively within a multidisciplinary team Commitment to laboratory safety and quality standards Experience with IHC, IF, ISH, or related tissue-based staining techniques Desirable Experience The following would be advantageous: Master's degree in a scientific discipline Experience within translational medicine, biomarker laboratories, pathology laboratories, or clinical trial support environments Experience working within an HTA-regulated environment Familiarity with audit, inspection, deviation, CAPA, and change control processes Experience with digital pathology, slide scanning, or laboratory tracking systems Understanding of cancer biology and pathology Please note: Due to the hands-on nature of this position, only candidates with demonstrable practical laboratory experience in histology and tissue-based workflows will be considered . Applicants should be able to clearly evidence their direct involvement in relevant techniques and laboratory processes outlined in this job description. Why Apply? This is a fantastic opportunity to gain experience within a world-class pharmaceutical research environment, contributing to innovative drug development programmes while working alongside leading scientists and pathology specialists. Apply today to become part of a team helping to advance cutting-edge translational science and improve patient outcomes. #LI-Onsite Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.comand let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation. TPBN1_UKTJ

Our Organization IONTAS is part of the FairJourney Biologics family, which operates across four global sites (Porto – Portugal, Cambridge – UK, San Francisco and San Diego – USA). FairJourney Biologics is dedicated to discovering high-quality biologics drug candidates for our partners, providing solutions to their technical challenges, and helping bring life-changing medicines to patients. Our antibody discovery and engineering services have benefitted over 200 biotech and pharma partners worldwide. With more than 1,000 completed projects using a range of molecular formats and 20 clinical-stage molecules, we are internationally recognized for tackling novel and challenging discovery programs. Our expertise in Phage and Mammalian Display platforms enables us to push the boundaries of antibody discovery, driving innovation for next-generation therapeutics. The Role We are seeking a highly capable and enthusiastic Senior Research Associate (SRA) to join our Discovery & Engineering Unit at our South Cambridgeshire site (DEU III). This will be an onsite and predominantly lab-based role. Working within a project team, you will independently execute antibody discovery experiments for client projects, delivering first class results. You will apply your expertise to troubleshoot technical challenges as they arise and provide training to junior team members. Teamwork is a key skill for this role, as you will be collaborating with colleagues to plan and deliver project work. A positive and solution focused mindset is required to deliver on a wide range of innovative and intellectually challenging projects. Key Responsibilities • Contribute to antibody discovery programs using phage and/or mammalian display and relevant screening assays, ensuring timely delivery and high-quality outcomes., • Independently plan and execute high-quality experiments to agreed timelines., • Collect, analyse, and interpret scientific data to inform decision-making., • Provide training and mentoring to junior colleagues and new hires., • Present findings and progress updates to senior management and partners. Your Profile • BSc or MSc in a relevant field (e.g. molecular biology, biochemistry, biomedical sciences)., • 3+ years of hands-on lab experience in a CRO, biotech, pharmaceutical, or academic research environment, preferably gained within the antibody discovery field, with an understanding of therapeutic antibody formats, structures, and sequences., • In-depth understanding and practical research experience of molecular biology and cellular biology techniques, including DNA cloning, PCR and mammalian cell culture., • Strong practical experience in aseptic cell culture techniques and the routine culture and maintenance of mammalian cell lines., • Hands-on experience with flow cytometry & FACS., • Demonstrable experience in in vitro cell-based assays (e.g. reporter, TDCC)., • Excellent data analysis, interpretation and problem-solving skills., • Ability to plan time and prioritise work., • Maintain clear written records in a timely manner., • The ability to present and communicate effectively to internal and external stakeholders., • Strong interpersonal skills with the ability and desire to build strong collaborative working relationships. Nice To Have: • Practical experience in antibody display technologies (e.g. phage/mammalian display) is desirable., • Experience in antibody display library construction., • Experience in biochemical assays, (e.g. ELISA, BLI, SPR)., • Experience of antibody isolation and engineering for optimisation. We Offer Be Part of a Global Team By being part of the FairJourney Biologics family, you will be collaborating with teams in Porto, Cambridge, San Francisco and San Diego. You will have the opportunity to work alongside world-class scientists, share insights and contribute to ground breaking antibody projects. Innovating the Future of Therapeutic Antibodies IONTAS was co-founded in 2012 by John McCafferty, a pioneer of antibody phage display technology, which contributed to the 2018 Nobel Prize in Chemistry, and became part of the FairJourney Biologics family in 2020. By integrating phage and mammalian display expertise, we deliver high-affinity, developable antibodies that are shaping the future of drug discovery. Career Development & Growth As the biopharmaceutical industry continues to evolve, there is a growing reliance on specialized CROs to drive innovation in antibody discovery. With an increasing number of biotech and pharmaceutical companies outsourcing their research, FairJourney Biologics is well positioned for long-term growth and expanding opportunities. • Be part of a dynamic, motivated team at our expanding Cambridge site., • Contribute to projects that impact partners, patients and the broader scientific community. Competitive Benefits • Attractive salary & life insurance., • Generous parental leave policies., • Located on Unity Campus, a growing science park offering good transport links, an on-site gym with personal training, a cafe and a vibrant social community. A Culture That Empowers We foster an inclusive, collaborative environment where diverse perspectives are valued. At FairJourney Biologics, your ideas and contributions matter – helping us transform antibody discovery and deliver next-generation therapeutics. If you're ready to take the next step in your career path, we’d love to hear from you!

Job Description SummaryThe Team Leader in Data Science, Disease Area X at Novartis will lead and contribute to high-impact data science programs that transform complex biological, translational, and multi-omics data into decision-driving insights for drug discovery. This role will combine scientific leadership, hands-on computational expertise, and people leadership to advance target identification, biomarker discovery, mechanism-of-action understanding, and portfolio decisions.The successful candidate will lead a multidisciplinary team of data scientists and partner closely with biology, translational research, data sciences, IT, and discovery platform teams. They will help define and operationalize AI/ML strategy for discovery applications, including generative and agentic AI. This leader will also contribute significantly to data generation, curation, and engineering strategies that enable scalable use of proprietary and public datasets. The role reports to the Head of Data Science, Disease Area X.Job DescriptionInternal Job Title: Senior Principal Scientist or Associate DirectorPosition Location: Cambridge, MA HybridKey responsibilities:Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data modalities to support target and biomarker portfolios.Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches.Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.Contribute hands-on technical work in scientific software development, data engineering, workflow automation, reproducible analysis, and scalable analytical pipelines.Partner cross-functionally with wet-lab scientists, translational researchers, platform teams, and senior stakeholders to shape experimental design and accelerate decision-making.Prioritize resources and capabilities across multiple projects, adapting to evolving portfolio needs and balancing strategic impact with delivery timelines.Lead, coach, and develop direct reports, creating a collaborative, inclusive, scientifically rigorous, and high-performing team environment.Communicate scientific findings and recommendations clearly through internal presentations, governance discussions, publications, posters, and external scientific forums.Promote FAIR data practices, reproducible research, high-quality documentation, project tracking, and scalable analytical standards across the team.Essential Requirements:Advanced degree (PhD preferred) in Data Science, Computational Biology, Bioinformatics, Computational Science, Molecular Biology, Genetics, Biochemistry, Engineering, or a related quantitative or life sciences discipline.6+ years of relevant experience applying computational biology, bioinformatics, AI/ML, statistics, or data science to drug discovery, translational research, biotechnology, pharmaceutical R&D, technology, or academic research.Experience leading or managing internal data scientists, computational biologists, bioinformaticians, or machine learning scientists in a matrix management environment as well as external collaboratorsDemonstrated ability to lead complex, hypothesis-driven scientific analyses using biological, multi-omics, or translational datasets, including RNA-seq, single-cell RNA-seq, proteomics, genomics, spatial biology, and/or imaging.Strong practical experience with scientific software development, reproducible analysis, workflow orchestration and collaborative development practices; experience in Python and/or R, with familiarity in tools such as GitHub, HuggingFace, workflow managers, Jupyter notebooks, containersDeep experience with cloud-based or enterprise-scale compute platforms, high-performance computingSignificant experience influencing and collaborating across diverse scientific teams, including wet-lab biology, translational research, engineering, and computational functions.Familiarity with modern AI/ML methods and their application to biological or biomedical data (i.e. generative, agentic AI)Experience acquiring, curating, and engineering proprietary and public datasets while maintaining appropriate data governance, privacy, and security standards.Demonstrated ability to shape scientific strategy cross-functionally, influence senior stakeholders, and translate analytical results into portfolio-relevant decisions.Track record of scientific impact through publications, conference presentations, internal decision support, or portfolio contributions.Strong communication, interpersonal, ethical judgment, resilience, and self-awareness skills.Compensation & Benefits:The salary for this position is expected to range between $160,300 and $297,700 USD annually for Senior Principal Scientist, Data Science, and $176,400 and $327,600 USD annually for Associate Director, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$160,300.00 - $297,700.00Skills DesiredArtificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time

Our OrganizationIONTAS is part of the FairJourney Biologics family, which operates across four global sites (Porto – Portugal, Cambridge – UK, San Francisco and San Diego – USA). FairJourney Biologics is dedicated to discovering high-quality biologics drug candidates for our partners, providing solutions to their technical challenges, and helping bring life-changing medicines to patients. Our antibody discovery and engineering services have benefitted over 200 biotech and pharma partners worldwide. With more than 1,000 completed projects using a range of molecular formats and 20 clinical-stage molecules, we are internationally recognized for tackling novel and challenging discovery programs. Our expertise in Phage and Mammalian Display platforms enables us to push the boundaries of antibody discovery, driving innovation for next-generation therapeutics. The RoleWe are seeking a highly capable and enthusiastic Senior Research Associate (SRA) to join our Discovery & Engineering Unit at our South Cambridgeshire site (DEU III).This will be an onsite and predominantly lab-based role. Working within a project team, you will independently execute antibody discovery experiments for client projects, delivering first class results. You will apply your expertise to troubleshoot technical challenges as they arise and provide training to junior team members. Teamwork is a key skill for this role, as you will be collaborating with colleagues to plan and deliver project work. A positive and solution focused mindset is required to deliver on a wide range of innovative and intellectually challenging projects. Key ResponsibilitiesContribute to antibody discovery programs using phage and/or mammalian display and relevant screening assays, ensuring timely delivery and high-quality outcomes.Independently plan and execute high-quality experiments to agreed timelines.Collect, analyse, and interpret scientific data to inform decision-making.Provide training and mentoring to junior colleagues and new hires.Present findings and progress updates to senior management and partners. Your ProfileBSc or MSc in a relevant field (e.g. molecular biology, biochemistry, biomedical sciences).3+ years of hands-on lab experience in a CRO, biotech, pharmaceutical, or academic research environment, preferably gained within the antibody discovery field, with an understanding of therapeutic antibody formats, structures, and sequences.In-depth understanding and practical research experience of molecular biology and cellular biology techniques, including DNA cloning, PCR and mammalian cell culture.Strong practical experience in aseptic cell culture techniques and the routine culture and maintenance of mammalian cell lines.Hands-on experience with flow cytometry & FACS.Demonstrable experience in in vitro cell-based assays (e.g. reporter, TDCC).Excellent data analysis, interpretation and problem-solving skills.Ability to plan time and prioritise work.Maintain clear written records in a timely manner.The ability to present and communicate effectively to internal and external stakeholders.Strong interpersonal skills with the ability and desire to build strong collaborative working relationships. Nice To Have:Practical experience in antibody display technologies (e.g. phage/mammalian display) is desirable.Experience in antibody display library construction.Experience in biochemical assays, (e.g. ELISA, BLI, SPR).Experience of antibody isolation and engineering for optimisation. We OfferBe Part of a Global TeamBy being part of the FairJourney Biologics family, you will be collaborating with teams in Porto, Cambridge, San Francisco and San Diego. You will have the opportunity to work alongside world-class scientists, share insights and contribute to ground breaking antibody projects. Innovating the Future of Therapeutic AntibodiesIONTAS was co-founded in 2012 by John McCafferty, a pioneer of antibody phage display technology, which contributed to the 2018 Nobel Prize in Chemistry, and became part of the FairJourney Biologics family in 2020. By integrating phage and mammalian display expertise, we deliver high-affinity, developable antibodies that are shaping the future of drug discovery. Career Development & GrowthAs the biopharmaceutical industry continues to evolve, there is a growing reliance on specialized CROs to drive innovation in antibody discovery. With an increasing number of biotech and pharmaceutical companies outsourcing their research, FairJourney Biologics is well positioned for long-term growth and expanding opportunities.Be part of a dynamic, motivated team at our expanding Cambridge site.Contribute to projects that impact partners, patients and the broader scientific community. Competitive BenefitsAttractive salary & life insurance.Generous parental leave policies.Located on Unity Campus, a growing science park offering good transport links, an on-site gym with personal training, a cafe and a vibrant social community. A Culture That EmpowersWe foster an inclusive, collaborative environment where diverse perspectives are valued. At FairJourney Biologics, your ideas and contributions matter – helping us transform antibody discovery and deliver next-generation therapeutics. If youre ready to take the next step in your career path, we’d love to hear from you!

Scientific Computing Engineer – 2 year Fixed Term Position Location: Cambridge, UK Reports to: Principal Scientist About Vernalis Working within our fully equipped research laboratories in Cambridge, our established group of scientists are world leaders in multiple hit-ID technologies and structure-based drug discovery. Our scientists develop and apply lead generation and structure-based methods to solve problems in drug discovery and have generated cell active compounds and development candidates against targets in multiple therapeutic areas including oncology, neurodegeneration, anti-infectives and inflammation. The Role As the Scientific Computing Engineer, you will be the architectural backbone and primary steward of our research computing ecosystem. You will bridge the gap between high-level scientific inquiry and enterprise-grade IT stability. This is a hands-on, senior technical role where you will manage a sophisticated hybrid environment—ranging from high-performance CPU/GPU clusters for computational chemistry to Dockerised application stacks—ensuring our scientists have the frictionless compute power they need to innovate. A scientific or research computing background is central to this role: you will be expected to understand the science, not just the servers. You will act as a vital Technical Liaison, translating the agile, performance-driven requirements of the Research group into actionable, secure configurations for the Enterprise IT team. Key Responsibilities • HPC Management: Oversee the health and performance of our on-premises HPC cluster (Bright Computing / SLURM). Optimise job scheduling and resource allocation across mixed CPU and GPU nodes for computational chemistry and ML applications., • DevOps & Container Orchestration: Lead the expansion of our Docker Swarm cluster. Manage the internal GitLab instance and architect robust CI/CD pipelines to automate the deployment of in-house scientific applications., • Application Maintenance & Security: Own the ongoing lifecycle of the full portfolio of deployed Dockerised applications and their CI/CD pipelines. Keep underlying runtimes and dependencies current (e.g. Python versions, base images and key libraries), and proactively monitor for, triage and remediate newly disclosed CVEs to keep the estate secure, patched and supportable., • Scientific Desktop Support: Design, deploy, and maintain standardised Linux desktop environments for computational chemists and structural biologists, ensuring compatibility with specialised visualisation and modelling software., • Laboratory Systems Integration: Manage the Linux environments powering critical lab equipment, including X-ray diffraction and NMR systems. Ensure high availability, secure data offloading, and robust backup protocols for these instruments., • Hybrid Cloud Strategy: Develop and execute a roadmap for "cloud-bursting" and strategic migration, balancing on-premises performance with cloud scalability where cost-effective., • Storage & Identity Integration: Partner with Enterprise IT to optimise NFS-exported storage (EMC2/Windows). Manage complex user identity mappings (UID/GID to SID) to ensure seamless data access across Linux and Windows platforms., • Inter-departmental Liaison: Translate scientific "asks" regarding networking, firewalls, and storage into technical specifications for the IT group, ensuring research velocity is maintained through suitably configured business rules and centralised user management. Core Qualifications • Operating Systems: Expert-level knowledge of RedHat Enterprise Linux (RHEL) and SELinux security policies., • DevOps: Strong experience with GitLab CI/CD and container orchestration (Docker Swarm)., • HPC Stack: Proficiency in SLURM workload management and Bright Computing cluster tools., • Storage & Identity: Experience with NFS, enterprise storage (EMC2), and managing UID/GID/SID mappings in an Active Directory environment., • Communication: Exceptional ability to translate between "Scientific Research" and "Enterprise IT" requirements., • Security: Working knowledge of vulnerability management and container security—tracking CVEs, dependency/base-image scanning, and timely patching of Dockerised services., • Scientific Background: Demonstrable experience supporting a scientific research environment (e.g. computational chemistry, structural biology or a related discipline), ideally underpinned by a degree in a scientific or computational subject. Highly Desirable Attributes • Research Background: Previous experience as a Compute Officer (e.g., University of Cambridge or equivalent) or working within a biotech/structural biology research environment., • Scientific Domain Knowledge: Familiarity with the data requirements and software used in Computational Chemistry, NMR, or X-ray crystallography., • GPU Optimisation: Experience configuring GPU resources for Machine Learning (PyTorch/TensorFlow) and molecular dynamics., • Cloud Proficiency: Practical experience with AWS, Azure, or GCP, specifically regarding hybrid workloads or cloud migration. Why This Role? This is not a "siloed" IT position. You will have a direct seat at the table in the Research group, influencing how we use technology to solve complex biological problems. You will have the autonomy to shape our transition to the cloud while maintaining a high-performance, on-premises engine that supports everything from the laboratory bench to the supercomputer. Note to Candidates: We are looking for a "Scientific Technologist" — someone who understands that the ultimate goal of the server is the science it produces. Why Vernalis? At Vernalis you will be part of ‘One Team’ working in a friendly and collaborative office. We offer a comprehensive range of benefits including generous pension contributions, private healthcare cover, 26 days annual leave, plus bank holidays, holiday purchase scheme, flexitime, discretionary bonus, employee assistance programme and enhanced family leave policies. If you feel passionate about joining a team where scientific excellence and enthusiasm combine in a friendly and flexible environment to impact drug discovery projects, then please get in touch! Vernalis Research is committed to promoting a diverse and inclusive community – a place where we can all be ourselves and succeed on merit.

Oakridge International School, Bachupally. Full-Time | Fixed-Term Contract. Oakridge International School, Bachupally is looking for a passionate and committed.

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