• PhD in Genetic Epidemiology, Statistical Genetics (with an applied focus), Human Genetics or similar and strong quantitative and analytical skills.• 5+ years of experience and/or an outstanding level of achievement in the field of large-scale human genetics post PhD.• Expertise in the genome-wide and gene-centric analysis of large human genetics datasets for translational insights. The successful candidate will use (a) Mendelian randomization to elucidate causal mechanisms and evaluate whether pharmacological treatment of a target is likely to be effective and safe; (b) polygenic risk scores to enhance etiologic understanding and genetic prediction, (c) fine-mapping and other prioritization approaches to identify causal variants and genes underlying genetic association signals and (d) will routinely combine information across multiple traits, variants and data sources to generate new insights. An outstanding candidate will have contributed to the application of these methods to important biological problems in the field of Cardiovascular, Metabolic and Musculoskeletal Medicine.• Expertise with modern cluster and cloud computing environments and with statistical analysis software (R environment for statistical computing, STATA) and human genetics analysis tools (METAL, GCTA, PLINK or similar).• Interest in understanding the genetic basis of Cardiovascular, Metabolic and Musculoskeletal diseases and translating this knowledge into therapeutic insights. An outstanding candidate will have previously worked on cardiovascular, metabolic or musculoskeletal phenotypes.• Ability to work in a highly interactive environment with a diverse team of colleagues. Ability to provide mentorship and guidance to more junior colleagues to help them develop their full potential and build new skills and abilities.• Outstanding communication skills and an ability to summarize and present the results of human genetic studies to a variety of technical audiences, ranging from experts in statistical genetics, human genetics, biology, drug design and medicine.• A commitment to high-quality science and to the highest standards of research and work ethics and integrity.