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.
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Our approach to R&D
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