Principal Scientist, Statistical Genetics

Key Responsibilities: Design and perform cross-biobank analyses to identify human genetic risk factors for cardiovascular diseases Conduct integrative analyses to infer causal mechanisms driving disease using human genetics and other data types Communicate findings and recommend follow-up actions in various settings, including project meetings and external publicationsRequired QualificationsBachelor's Degree with 8+ years, Master's Degree with 6+ years, or PhD with 4+ years of academic/industry experience PhD in statistical genetics, cardiovascular genetics, or a related computational/quantitative discipline preferred Experience applying genetics to drug discovery or healthcare-related applications Advanced knowledge of at least one high-level programming language such as R or Python Demonstrated ability to advance multi-disciplinary team projects