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.

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:

• Strong programming skills (Python required)
• Demonstrated experience writing maintainable, production‑quality code, including: modular design, testing, and 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)
• Ability to work independently and take ownership of deliverables

Preferred Qualifications & Skills:

• 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

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, parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.