Principal Scientist, Genomic Technologies, Human Genetics and Genomics

Role Summary

Principal Scientist, Genomic Technologies, Human Genetics and Genomics (GSK) - join a Genomic Technologies team within HGG to integrate computational and statistical methods for interpretation of genetics and genomics data to guide drug discovery and development.

Responsibilities

• 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 visualizing 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.

Qualifications

• 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.

Preferred Qualifications

• Deep understanding of statistical genetics methodology.
• Experience working in cloud-based Trusted Research Environments.
• Experience with machine learning and/or advanced statistical methods.
• Experience working in multidisciplinary teams on complex and impactful projects.
• Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow).