Principal Scientist, Translational Data Sciences

Biopharma Careers; Stevenage, Cambridge; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

GSK in the United Kingdom is seeking a Principal Scientist in Translational Data Sciences to lead analyses that translate human genetics and multi-omic data into actionable drug-discovery decisions. You will work with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams to drive impact and career growth.

The role emphasizes reproducible methods, mentorship, and collaboration across functions, with a hybrid on-site/remote work arrangement and relocation as

Qualifications

• PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.

Responsibilities

• Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.
• Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.
• Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.
• Translate analytic results into clear recommendations for project teams and leaders.
• Collaborate across functions and with external partners to shape study design, data generation and interpretation.
• Mentor and support junior colleagues to share methods, standards and practical best practice.

Skills

Applied Statistics

Data Analysis

Data Engineering

Data Science

Datasets

Drug Development

Drug Discovery Process

Drug Target Identification

Genetic Analysis

Genomic Analysis

Machine Learning

Software Engineering

Education

PhD in data science, computer science, computational biology, bioinformatics, or closely related discipline

Undergraduate degree in Physical sciences or Biological sciences or Medical degree

Tools

Cloud platforms

Distributed computing

Large-scale data processing tools

Job description

Principal Scientist, 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 be set by the Company. The relocation is currently proposed to take effect by early 2029.

Position Summary

You will lead translational data science efforts that turn human genetics and multi-omic data into clear decisions for drug discovery. You will work closely with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams. We value clear communication, practical problem solving, curiosity and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together.

Responsibilities

• Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.
• Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.
• Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.
• Translate analytic results into clear recommendations for project teams and leaders.
• Collaborate across functions and with external partners to shape study design, data generation and interpretation.
• Mentor and support junior colleagues to share methods, standards and practical best practice.

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.
• Strong hands-on experience analysing large-scale genetic and multi-omic datasets.
• Proficient programming skills in Python and experience with reproducible workflows and version control.
• Experience integrating molecular data with clinical or phenotypic data to answer translational questions.
• Proven ability to communicate complex results clearly to scientific and non-technical audiences.
• Willingness and ability to work in a hybrid model with regular on-site presence in the United Kingdom as required by the Performance with Choice policy.

Preferred Qualification

• Track record of peer-reviewed publications or major scientific contributions in genetics or translational genomics.
• Experience with cloud or distributed computing platforms and large-scale data processing tools.
• Familiarity with causal inference, biomarker discovery, and patient stratification methods.
• Experience with single-cell, spatial omics, proteomics or other emerging molecular technologies.
• Experience working within multi-disciplinary project teams in industry or academia.
• Experience contributing to production-ready pipelines or shared analysis platforms.

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 74,250 to EUR 123,750For 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