Principal Scientist, Genomics Analytics Engineer

We are seeking a scientist to join our team as a Principal Scientist, with a focus on genomics analytics engineering.

Within GSK R&D Translational Sciences (TSci), the Genomic Technologies team integrates deep and broad expertise in computational, statistical and data-driven methods to enable best-in-class analytical insight and interpretation of genetics and genomics data, impacting GSK R&D portfolio and pipeline decisions.

We value collaborative and cross-disciplinary working, partnering closely with translational scientists, portfolio teams, as well as GSK’s AI/ML and platform scientists. We emphasise biological and statistical rigour alongside delivery-focused engineering, analysis reproducibility, and data traceability.

This role emphasises end‑to‑end ownership of analytical systems, combining scientific excellence with strong, production‑grade engineering practices to deliver capabilities that can be reliably used across programmes.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpageLife at GSK | GSK

In this role you will

• Design and implement maintainable analytics and ML pipelines for genomics and multi‑omics data

• Implement state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.

• Translate scientific and domain requirements into reliable, testable software systems

• Own workflows from prototype through to usable, shareable capability

• Apply machine‑learning methods to answer biological questions where appropriate, with an emphasis on robustness, interpretability, and reproducibility

• Contribute engineering best practices within a scientific environment (testing, code structure, documentation)

• Act as a technical bridge between genomics scientists and AI/ML or platform teams

• Contribute to a culture of innovation, quality, and willingness to learn and improve

Why you?

Basic Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• Strong programming skills (Python required)

• Demonstrated experience writing maintainable, production‑quality code, including:

  • modular design

  • testing

  • version control

• Knowledge of genetic, genomic, epigenomic, or experimental/functional genomic data, and of relevant methods for data analysis and interpretation.

• Hands‑on experience building, running, and maintaining data or analytics pipelines using a workflow orchestration framework (e.g. Nextflow, Airflow, Dagster, Prefect, Snakemake) and willingness to adapt to new and emerging technology.

  • Note: Candidates are not expected to have designed large‑scale platforms but should be comfortable owning pipelines end‑to‑end.

• Ability to work independently and take ownership of deliverables

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

• Experience working in cross‑functional scientific or R&D teams

• Practical experience implementing or operationalising machine‑learning models end‑to‑end (data preparation, training, evaluation, iteration)

• Experience deploying or operationalising ML models

• Experience working in cloud-based Trusted Research Environments

• Deep understanding of statistical genomics/genetics methodology

Closing Date for Applications – 15th of May 2026 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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.

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.

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