We are seeking a leading statistical geneticist, with a track record of high quality scientific research. The candidate will lead scientific teams to answer challenging questions at the interface of human genetics and drug development, by leveraging the best available genetic and genomic resources and applying state-of-the-art methods.
GSK aims to improve the number of successful late stage clinical trials for innovative medicines, by both identifying and advancing drug targets that have strong evidence of a causal role in disease biology. The Human Genetics team leverages major scientific and technological advances, including investment in biobanks linked to large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships, in order to identify the best targets and to continue evaluation of targets through their life in the pipeline.
The successful candidate will be appointed as Director or as Scientific Leader (depending on experience and skills). They will work in a multidisciplinary science-focused environment, to advance the application of human genetics in drug discovery and clinical development with an eye towards positively impacting the success of the R&D pipeline. This field-leading research addresses important drug discovery and development challenges, directly impacts GSK’s R&D pipeline, and is published in top scientific journals.
The successful candidate will:
Define strategies for acquisition and analysis of human genetic and genomic data, interpretation and communication of results.
Engage with project teams of GSK scientists to drive innovative use of genetic/genomic data and analyses.
Deliver key projects, prioritize scientific inquiries and balance resourcing in line with Human Genetics’ and GSK’s scientific strategy.
Shape the developing science of drug target identification and validation by providing scientific leadership to the Research organization and beyond.
PhD and experience in statistical genetics, genetic epidemiology, statistical bioinformatics, or a related field.
Deep experience in analyses of human genetic and phenotypic data, interpretation of genetic associations, and use of functional annotation to investigate potential causal mechanisms, with publications in high-impact peer reviewed journals.
Demonstrated ability to lead multidisciplinary teams and develop junior scientists.
Familiarity with a distributed data environment, ideally Apache Hadoop.
Ability to leverage multi-omic data sets to drive biological insights.
Excellent communication and influencing skills.
Applications of human genetics approaches in target identification and validation.
Track record of development and/or implementation of innovative statistical genetics or data analytics methodology.
Experience with pharmacogenomic assessments at various stages through drug development.
Engagement with large-scale biobanks and/or other large-scale genetic resources.
Leadership experience in international academic and/or industry consortia.