We are seeking an innovative scientist to join our team. The successful candidate will join the Genomic Technologies team, within the Human Genetics and Genomics (HGG) department at GSK. In the Genomic Technologies group, we integrate deep and broad expertise in computational and statistical methods and techniques, to enable best-in-class analytical insight and interpretation of genetics and genomics data, to guide GSK’s drug discovery and development portfolio and pipeline decisions.

The successful candidate will join an existing Statistical Genetics team and will work on projects aligned to current areas of focus, including:

• Discovery of new causal gene-phenotype links through analysis of large-scale individual level human genetic data.
• Identification of causal genes, disease-relevant mechanisms and cell types, potential drug targets, candidate biomarkers, patient subgroups and disease subtypes, through integration of genetic association data across multiple ‘omic and phenotypic layers.
• Predictive modelling of presence, direction and magnitude of causal gene-phenotype links, using genetic and ‘omic data, mechanistic annotation, inferred causal networks, and genome-scale perturbation data. 

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Find out more:
Our approach to R&D

In this role you will:

• 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 & Skills:

We are looking for a professional with these required skills to achieve our goals:

• 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 & Skills:

If you have the following characteristics, it would be a plus:

• 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).

This position may be based at a GSK R&D site in UK (Stevenage), in USA (Cambridge Tech Square, MA; or Upper Providence, PA), or in Germany (Heidelberg).

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