Principal Scientist, Statistical Genetics

Job Summary

To lead innovative genetics approaches in cardiovascular disease research, the full-time Principal Scientist, Statistical Genetics will coordinate the application of large-scale human genetic data and statistical methods to identify and validate drug targets, while collaborating with cross-functional teams and external scientific communities.

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 publications

Required Qualifications

• Bachelor'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