Scientific Leader, Statistical Genetics

We are seeking an innovative and productive statistical geneticist, with a track record of high quality human genetic analysis. The candidate should be comfortable applying state of the art analysis methods, and also interpreting findings in the context of the growing body of functional evidence ( e.g.. eQTL) to determine potential causal mechanisms. 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 work in a multidisciplinary, collaborative and scientifically driven environment, interacting with key academic collaborators and GSK scientists to advance drug discovery and clinical development in multiple disease areas. This field-leading research addresses important drug discovery and development challenges, directly impacts GSK's R&D pipeline, and publishes results in top scientific journals. The selected Statistical Genetics Scientific Leader(s) will: * Develop and implement approaches to acquire, analyze, interpret and apply human genetic evidence to inform target selection and validation decisions across a range of disease areas. * Lead project teams with GSK scientists and external collaborators. * Find creative solutions and quickly prototype applications to address challenging scientific questions. * Contribute to the developing science of drug target identification and validation, providing scientific expertise within Human Genetics and across the Research organization. Why You? Basic qualifications: * Demonstrated project leadership examples and experience working in teams to find creative ways to address scientific questions. * Ph.D. or equivalent experience in statistical genetics, genetic epidemiology, statistical bioinformatics, or a related field and ability to critically peer review work of other scientists. * Proficient in both analyses and communication of human genetic and phenotypic data, interpretation of genetic associations, and use of functional annotation to investigate potential causal mechanisms, with publications in peer reviewed journals. * Proficient in at least one general purpose programming language suitable for statistical genetic analyses, including either R or Python and familiarity with other contemporary statistical genetics tools (eg. Hail). Preferred qualifications : * Ability to develop, evaluate, and implement innovative statistical genetics or data analytic methodology. * Experience building analysis pipelines (eg. large-scale GWAS analysis or NGS data workflows) * Excellent communication and influencing skills and examples of working with multidisciplinary teams and with international colleagues. * Experience with one or more of the following: * Complex phenotype data ( e.g. longitudinal or time series) and genomic data liked to varied sources of phenotypic data ( e.g. electronic health records, epidemiological cohorts, and clinical trials). * Incorporation of additional molecular data, such as from gene expression profiling, metabolomics, or proteomics into genetic analyses. * Genetic or genomic data analysis in a distributed data and compute "big data" environment ( e.g. Apache Hadoop, Apache Spark). Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: * Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk. * Managing individual and team performance. * Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. * Implementing change initiatives and leading change. * Sustaining energy and well-being, building resilience in teams. * Continuously looking for opportunities to learn, build skills and share learning both internally and externally. * Developing people and building a talent pipeline. * Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. * Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. * Budgeting and forecasting, commerc