Director, Statistical Genetics

About the role

Bristol Myers Squibb seeks a talented statistical genetics expert to lead the Target Sciences team. This role will sit within Informatics & Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development within BMS research.

Responsibilities

• Drive design and implementation of computational strategy to infer causal mechanisms driving disease using human genetics and other data types (e.g. Mendelian randomization with proteomics, TWAS, colocalization)
• Lead team to perform cross-biobank analyses focused on identifying mechanisms underlying human genetic risk factors (e.g. LD score regression, eQTL mapping, scRNAseq)
• Lead team and coordinate with stakeholders across research to facilitate the use of germline genetics for discovery in neuro, immunology, and cardiovascular disease
• Evaluate and prioritize multi-modal, disease-specific datasets that will enable deep understanding of causal human biology of priority disease areas
• Coordinate with stakeholders across research to nominate, evaluate, and advance novel drug targets
• Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, project meetings, and external publications)

Requirements

• Bachelor’s Degree with 15+ years of academic / industry experience
• Master’s Degree with 12+ years of academic / industry experience
• PhD with 8+ years of academic / industry experience
• 6+ years leadership experience

Qualifications

• PhD in statistical genetics or a related computational/quantitative discipline field with 8+ or more years of relevant postdoctoral research and/or industry experience preferred
• Experience in leading efforts to apply genetics to drug discovery
• Deep scientific expertise in application of statistical genetic methods (GWAS, exWAS, Mendelian Randomizaiton, colocalization, polygenic risk scores)
• Advanced hands-on knowledge of at least one high-level programming language such as R or Python
• Familiarity with functional genomics preferred
• Demonstrated ability to advance multi-disciplinary team projects
• Managerial and mentorship experience in an industry setting

Benefits

Our benefits include: Health Coverage, wellbeing support, financial well-being and protection, work-life benefits, and more. For more details, visit careers.bms.com/life-at-bms/.