Principal Scientist, Genomics Analytics Engineer

GSK

Principal Scientist for genomics analytics engineering at GSK. Design and implement ML pipelines for genomic data supporting R&D initiatives in health.

Posted 5/2/2026full-timeUpper Providence • Pennsylvania • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and implement maintainable analytics and ML pipelines for genomics and multi-omics data
Implement state-of-the-art tools for 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
Contribute engineering best practices within a scientific environment
Act as a technical bridge between genomics scientists and AI/ML or platform teams

Requirements

What you’ll need

Strong programming skills (Python required)
Demonstrated experience writing maintainable, production-quality code
Knowledge of genetic, genomic, epigenomic, or experimental/functional genomic data
Hands-on experience building, running, and maintaining data or analytics pipelines using a workflow orchestration framework
Ability to work independently and take ownership of deliverables

Benefits

Comp & perks

Competitive salary
Annual bonus based on company performance
Healthcare and wellbeing programmes
Pension plan membership
Shares and savings programme
Hybrid working model

ATS Keywords

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Hard Skills & Tools

Pythonmachine learninganalytics pipelinesdata pipelinesworkflow orchestrationproduction-quality codegenomic dataepigenomic datafunctional genomic datasoftware systems

Soft Skills

independenceownershipcommunicationcollaboration