Associate Director Predictive Agentic Target Biology

Business Introduction At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK . The location of this role will therefore subsequently change to Cambridge, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029 . Position Summary You will lead predictive and agentic target biology work to improve how we find and prioritise targets for new medicines. You will combine computational and experimental approaches to predict target biology, safety, and translational potential. You will work closely with biologists, data scientists, engineers and project teams to influence project decisions. We value clear communicators who build robust, reproducible methods and focus on practical impact for patients. This role offers visible project influence, career growth, and the chance to unite science, technology and talent to get ahead of disease together. This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: - Lead development and application of predictive models and agentic workflows to evaluate target tractability and safety. - Design hypothesis-driven experiments and computational tests to validate target biology and mechanism of action. - Integrate multimodal biological data such as genomics, transcriptomics, proteomics and functional screens. - Translate biological questions into clear computational and experimental plans and deliver documented pipelines. - Provide timely, evidence-based recommendations to project teams for target prioritisation and go/no-go decisions. - Mentor colleagues and promote best practices in model validation, reproducibility and transparent reporting. Why You? Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals - PhD in biology, computational biology, bioinformatics, systems biology or a related life sciences field; or MSc with substantial relevant experience. - Practical experience developing and applying predictive models for biological targets or cellular phenotypes. - Strong programming skills in Python or similar languages and experience with scientific libraries for data analysis. - Hands-on experience integrating and analysing multimodal biological datasets including RNA-seq, proteomics or CRISPR screens. - Proven track record working in multidisciplinary teams and translating research questions into actionable workflows. - Right to work in the United Kingdom. This role follows a hybrid working model with regular office collaboration at our UK site. Preferred Qualification If you have the following characteristics, it would be a plus - Experience with agentic systems or orchestration frameworks that automate iterative design-test-analyse cycles. - Familiarity with causal inference, mechanistic models, or systems biology methods for predicting biology. - Experience deploying models and workflows to cloud or production environments such as Kubernetes, AWS or Azure. - Knowledge of target safety assessment, translational biomarkers, or early pharmacology relevant to discovery. - Record of scientific communication through publications, conference presentations or internal knowledge sharing. - Experience mentoring or leading small scientific teams and influencing cross-functional decisions. Working pattern This role is hybrid. You will combine remote work with regular in-office time in the United Kingdom to collaborate with colleagues and project teams. How to apply If this role excites you, please apply and tell us how your skills and experience match the responsibilities. We welcome applicants from all backgrounds and encourage people who may not meet every preference to apply. We look forward to learning about the impact you want to make. Skills Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. 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