Principal Scientist, Genomic Technologies
GSK
full-time
Posted on:
Location Type: Hybrid
Location: Stevenage • 🇬🇧 United Kingdom
Visit company websiteJob Level
Lead
Tech Stack
Python
About the role
- Evaluate, improve, test, and develop production implementations of best-in-class methods for analysis of genetic data, in collaboration with scientists in Data and Predictive Sciences, Biostatistics, or/and AI/ML teams.
- Generate large-scale analysis outputs, and/or implement state-of-the-art tools for dynamically analysing, interpreting, and visualising genetic and genomic data.
- Collaborate with partners in applied and translational teams across HGG, in experimental Target Discovery, and in GSK disease area Research Units, to influence portfolio and pipeline decisions.
- Stay informed about recent research in the field and consider its potential for application within GSK.
- Contribute to a culture of innovation, quality, and willingness to learn and improve.
Requirements
- Advanced degree (PhD or equivalent) in a relevant scientific discipline.
- Experience working with large scale biobank data, such as UK Biobank and All of Us.
- Excellent programming skills in R or python, and application of techniques in reproducible research, literate programming, FAIR data principles, or software development.
- Experience of evaluating, improving, testing, and/or developing methods for analysis and interpretation of large-scale genetics data.
- Strong communication and team-working skills.
Benefits
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Paid time off
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
RPythonreproducible researchliterate programmingFAIR data principlesgenetic data analysisgenomic data analysislarge-scale data analysismethod developmentdata visualization
Soft skills
strong communicationteam-workingcollaborationinnovationquality improvementwillingness to learn
Certifications
PhD