Statistical Genetics Scientist – Cardiovascular Drug Discovery

Bristol-Myers Squibb Company; Cambridge (MA); On-site; USD 167,000 - 202,000; Full time

Job summary

Bristol Myers Squibb in Cambridge, MA, is seeking a Principal Scientist, Statistical Genetics to lead and coordinate genetics analyses for cardiovascular diseases, using large-scale human genetic data within Informatics & Predictive Sciences.

You will apply methods such as GWAS, Mendelian randomization, colocalization, and rare variant analyses to identify drug targets, validate biology, and inform therapeutic hypotheses, with cross-functional collaboration and publication opportunities.

Qualifications

• Bachelor’s Degree with 8+ years of academic / industry experience.
• Master’s Degree with 6+ years of academic / industry experience.
• PhD with 4+ years of academic / industry experience.

Responsibilities

• Design and perform cross-biobank analyses focused on identifying human genetic risk factors for cardiovascular diseases.
• Design and perform integrative analyses to infer causal mechanisms driving disease using human genetics and other data types.
• Leverage disease specific datasets that are multi-modal and derived from disease focused consortia.
• 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).

Skills

Statistical genetics

Programming (R/Python)

Cardiovascular genetics

Cross-disciplinary collaboration

Data analysis

Education

Bachelor’s degree

Master’s degree

PhD

Job description

Bristol Myers Squibb in Cambridge, MA, is seeking a Principal Scientist, Statistical Genetics to lead and coordinate genetics analyses for cardiovascular diseases, using large-scale human genetic data within Informatics & Predictive Sciences.

You will apply methods such as GWAS, Mendelian randomization, colocalization, and rare variant analyses to identify drug targets, validate biology, and inform therapeutic hypotheses, with cross-functional collaboration and publication opportunities.