Associate Director, Translational Data Sciences

Associate Director, Translational Data Sciences

Closing Date: 2nd September 2026 (COB)

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.

For candidates seeking to be located at our Stevenage site, this role will temporarily be based ever, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.

You will contribute to translational data science work to turn genetics and multi‑omics data into clear, actionable insights. You will partner closely with translational scientists, programme teams, AI/ML and platform colleagues. We value curiosity, scientific rigour, clear communication and a practical engineering mindset. This role gives you visible impact on early discovery and clinical translation and strong opportunities to grow your scientific and leadership skills while helping GSK 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 design, delivery and interpretation of translational analyses using genetics, genomics, proteomics, and clinical phenotypes to inform target, biomarker and patient‑selection decisions.
• Own end‑to‑end analytical work streams: data ingestion, quality control, analysis, reproducible pipelines and clear reporting to programme teams.
• Translate scientific questions into robust computational approaches and present results to diverse stakeholders in written reports and concise briefings.
• Partner with AI/ML, platform and bioinformatics teams to ope rationalise methods and scale reproducible analysis in secure computing environments.
• Mentor and coach scientists and analysts; contribute to team skill‑building and collaborative problem solving.
• Represent the team in cross‑functional programme meetings and in external collaborations when needed.

• Deliver reproducible, well‑tested analytic pipelines for large‑scale genetic and multi‑omic datasets.
• Produce high‑quality translational interpretations that directly inform project decisions.
• Build strong working relationships across biology, clinical, AI/ML and platform teams.
• Ensure analyses meet data governance, privacy and traceability standards in the UK and relevant jurisdictions.
• Evaluate and adopt new methods and tools when they add clear translational value.
• Support knowledge sharing through presentations, documentation and peer review.

Basic Qualification

• Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.
• PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline;
• Hands‑on experience analysing large‑scale genetic and multi‑omics datasets and integrating these with clinical or phenotypic data.
• Strong programming skills in Python, and experience delivering reproducible, production‑quality analysis (version control, testing, documentation).
• Experience building or owning end‑to‑end analytic pipelines and workflows in a research or R&D setting.
• Clear written and verbal communication skills with experience presenting technical results to non‑specialist stakeholders.
• Ability to work effectively in multidisciplinary teams and to manage competing…