Lead Statistical Geneticist, Cardiovascular Genomics

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

Job summary

Bristol Myers Squibb in Cambridge, MA seeks a Principal Scientist in Statistical Genetics to coordinate and lead genetics-driven cardiovascular disease research within Informatics & Predictive Sciences.

You will apply GWAS, fine-mapping, colocalization, Mendelian randomization, and polygenic modeling to identify drug targets, synthesize results for cross-functional meetings, and advance therapeutic hypotheses.

Qualifications

• Bachelor's degree or higher with extensive experience in statistical genetics.
• Strong publication and communication skills.
• Experience applying genetics to drug discovery preferred.

Responsibilities

• Coordinate and lead implementation of genetics approaches to cardiovascular diseases.
• Perform cross-biobank analyses (GWAS meta-analysis, rare variant tests).
• Infer causal mechanisms using genetics and other data types.
• Communicate findings at cross-functional meetings and publications.
• Collaborate with researchers across pipelines to nominate drug targets.

Skills

Statistical genetics knowledge

Programming in R or Python

Cross-functional collaboration

Communication of scientific findings

Education

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

Tools

GWAS

Mendelian Randomization

Job description

Bristol Myers Squibb in Cambridge, MA seeks a Principal Scientist in Statistical Genetics to coordinate and lead genetics-driven cardiovascular disease research within Informatics & Predictive Sciences.

You will apply GWAS, fine-mapping, colocalization, Mendelian randomization, and polygenic modeling to identify drug targets, synthesize results for cross-functional meetings, and advance therapeutic hypotheses.