Role Overview
Principal Scientist – Genomics Analytics Engineering at GSK R&D Translational Sciences, with a focus on end‑to‑end ownership of analytical systems for genomics and multi‑omics data.
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 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
Basic Qualifications & Skills
- 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
- 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
Competitive salary, annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, shares and savings programme, and a hybrid working model through the Performance with Choice programme.
Equal Opportunity Employer
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, military service or any basis prohibited under federal, state or local law.
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