Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics

GSK • Upper Providence, PA

18d • €74,250 - €123,750

About The Position

GSK is seeking an innovative scientist to join the Genomic Technologies team within R&D Translational Sciences. The team combines computational and statistical expertise to interpret genetics and genomics data and inform drug discovery, development, portfolio, and pipeline decisions. The successful candidate will join the Statistical Genetics team and contribute to projects involving large-scale human genetic data and integration of genetic association data with other omic and phenotypic information.

The work includes identifying causal gene–phenotype links, disease mechanisms, relevant cell types, potential drug targets, biomarkers, patient subgroups, and disease subtypes. It also includes predictive modelling of causal gene–phenotype relationships using genetic and omic data, mechanistic annotations, inferred causal networks, and genome-scale perturbation data. The position may be based at a GSK R&D site in Stevenage, UK; Cambridge Tech Square, MA, or Upper Providence, PA, USA; or Heidelberg, Germany.

Requirements

• PhD or equivalent advanced degree 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 evaluating, improving, testing, and/or developing methods for analysis and interpretation of large-scale genetics data.
• Strong communication and team-working skills.

Nice To Haves

• 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 analysing very large datasets using distributed or cloud computing technologies such as SQL, PySpark, BigQuery, Docker, or Nextflow.

Responsibilities

• Evaluate, improve, test, and develop production implementations of methods for genetic data analysis, collaborating with scientists in Data and Predictive Sciences, Biostatistics, and/or AI/ML teams.
• Generate large-scale analysis outputs and/or implement tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.
• Collaborate with applied and translational partners across HGG, experimental Target Discovery, and GSK disease area Research Units to influence portfolio and pipeline decisions.
• Stay informed about recent research in the field and consider its potential application within GSK.
• Contribute to a culture of innovation, quality, and continuous learning and improvement.

Benefits

• Annual bonus may be offered.
• Eligibility to participate in a share-based long-term incentive program, depending on role level.
• Health care and other insurance benefits for employees and family.
• Retirement benefits.
• Paid holidays.
• Vacation.
• Paid caregiver, parental, and medical leave.
• Germany compensation description also mentions vacation pay and occupational pension provision.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree