Responsibilities
- 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 visualising 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, emphasising 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.
- Own pipelines end‑to‑end, building, running, and maintaining data or analytics pipelines using workflow orchestration frameworks such as Nextflow, Airflow, Dagster, Prefect or Snakemake.
- Work independently and take ownership of deliverables.
Required Qualifications
- Strong programming skills in Python.
- Demonstrated experience writing maintainable, production‑quality code with modular design, testing and version control.
- Knowledge of genetic, genomic, epigenomic or experimental/functional genomic data and relevant methods for data analysis and interpretation.
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.
Benefits and Working Conditions
- Competitive salary and annual bonus based on company performance.
- Healthcare and wellbeing programmes.
- Pension plan membership.
- Shares and savings programme.
- Hybrid working model through Performance with Choice programme.
GSK is an equal opportunity employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, 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.
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