Associate Director, Translational Data Sciences

GlaxoSmithKline; Upper Providence (Delaware County); Hybrid; USD 244,000 - 311,000; Full time

Job summary

GlaxoSmithKline is seeking an Associate Director in Translational Data Sciences to lead analyses turning genetics and multi-omics data into actionable insights. You will partner with translational scientists, AI/ML and platform colleagues to drive early discovery and clinical translation, with visible impact and leadership growth.

The role offers hybrid work in the United Kingdom with opportunities to influence project decisions and advance data-driven target and biomarker efforts.

Qualifications

• PhD in data science, computational biology or closely related field.
• Hands-on experience analysing large-scale genetic or multi-omics data.
• Strong Python programming with reproducible analysis and documentation.
• Experience delivering end-to-end analytic pipelines in research/R&D.

Responsibilities

• Lead design, delivery and interpretation of translational analyses using genetics, genomics and multi-omics data.
• Own end-to-end data workstreams: ingestion, QC, analysis and reporting.
• Translate scientific questions into robust computational methods for stakeholders.
• Collaborate with AI/ML, platform and bioinformatics teams to scale analyses.
• Mentor scientists and analysts, supporting skill-building and problem solving.
• Represent the team in cross-functional meetings and external collaborations.

Skills

Genetics

Genomics

Proteomics

Data Analysis

Python

ML/AI

Data Pipelines

Communication

Education

PhD in data science or computational biology

Tools

Cloud platforms

Git

Jenkins

Job description

Associate Director, Translational Data Sciences

Closing Date: 2nd September 2026 (COB)

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, UK in accordance with timelines to set by the Company. The relocation is currently proposed to take effect by early 2029

Position Summary

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 workstreams: 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 operationalise 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.

Responsibilities

• 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.

Why You?

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 priorities.

Preferred Qualification

• Experience in translational settings within pharma, biotech or clinical research, with track record of influencing project decisions.
• Familiarity with machine learning or advanced statistical methods applied to molecular or clinical data.
• Experience working with single‑cell, spatial, proteomic or other emerging omics modalities.
• Experience with cloud platforms, trusted research environments or scalable compute systems.
• Track record of peer‑reviewed publications, presentations or external collaborations.
• Experience leading small teams, mentoring staff, or coordinating cross‑functional projects.

Location and Working Model

This role is based in the United Kingdom. The position is offered on a hybrid working model that combines time working remotely and time in office to support collaboration and development.

Skills

Applied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering Germany Salary Range / Gehaltsbandbreiten Deutschland: EUR 82,500 to EUR 137,500 For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer's discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.

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. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [e-mail] where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

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