Principal Scientist, Translational Data Sciences

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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

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

- 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

We are seeking professionals with the following required skills and qualifications to help us achieve our goals.

• 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

If you have the following characteristics, it would be a plus:

• 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.
How to Apply

We welcome applicants from all backgrounds. If this role matches your skills and interests, please apply and tell us how your experience maps to the responsibilities and qualifications above. We look forward to learning about the impact you could make at GSK

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.

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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.

This Position Description is to provide a framework for job understanding between employee and manager. It may not cover or contain the full listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice and at the discretion of the management of the Company. The position description is not used in the assignment or assessment of any GSK level or grade used in the Job Evaluation Process.

Compensation Grade:7

Job Posting End Date:2-09-2026

Eligible for Employee Referral Bonus:Yes