Senior Manager / Director, Statistical Genetics

What you'll do

• Lead, mentor, and grow a team of four statistical geneticists; set the team’s roadmap and technical direction.
• Develop machine-learning methods and reusable workflows that integrate human genetics with other data modalities.
• Own GWAS, rare-variant, and post-GWAS analyses, translating genetic findings into therapeutic programs.

What they ask for

• PhD in statistical genetics, human genetics, computational biology, biostatistics, or a related field, plus 5+ years of experience.
• Deep knowledge of statistical genetics applied to target discovery in an industry setting.
• Direct people-management experience and a record of mentoring and growing technical talent.
• Demonstrated machine-learning experience with genetic, imaging, or other clinical data; history of publication and methodological innovation in statistical genetics.

Nice to have

• Strong Python or R skills in a cloud environment, with reusable, tested, version-controlled code.
• Relevant disease-area knowledge, genetic discovery experience informing drug decisions, or experience with high-content modalities.

Pay

$224,000 - $273,000 (base salary)

Tools

Python, R, GWAS

AI focus

Develop machine-learning methodology to extract signal from human genetics and integrate it with other data modalities; apply ML to support causal target discovery.