Senior Manager / Director, Statistical Genetics
Core
Lead a team of statistical geneticists to advance machine learning methods for extracting causal biological insights from human genetics and translate them into therapeutic programs.
Role type
Senior Manager / Director, Statistical Genetics
Builds
ML statistical genetics platform and reusable workflows for target discovery
Domain
Biotechnology / Statistical Genetics / Machine Learning
Deliverable
production ML models | product features
Required skills
Statistical genetics, Machine learning, Team leadership, GWAS analysis, Rare variant analysis, Causal inference, Drug discovery translation, Methodological innovation
Preferred skills
Python or R in cloud environments, Disease area expertise (cardiovascular, metabolic, liver, ophthalmologic, neurological), Genetic discovery track record, Multi-modal omics experience
Technologies
Python, R, Cloud environments
Responsibilities
Lead and mentor a team of four statistical geneticists; Define the roadmap and priorities for statistical genetics; Build new ML methodology integrating genetics with other data modalities; Partner with software engineering to create reusable workflows; Own GWAS, rare variant, and post-GWAS analyses to identify novel targets; Convert genetic findings into validated therapeutic programs
Seniority
Senior Manager / Director, hands-on IC with people leadership