AI/ML for Biology Scientist
Core
Integrate human genetics, longitudinal health data, multi-omics, imaging, and functional biology with machine learning to uncover disease mechanisms and identify therapeutic targets for aging-related neurogenerative and cardiovascular diseases.
Role type
Senior IC data scientist (computational biology & ML)
Builds
Scalable analytical workflows and testable hypotheses for drug discovery
Domain
Biopharmaceuticals / Aging & Regenerative Medicine
Deliverable
production ML models
Required skills
Python, R, human genetics, multi-omics analysis, cellular imaging analysis, biological foundation models, MLops, representation learning, multimodal methods
Preferred skills
GWAS, rare variant analysis, Mendelian randomization, longitudinal cohort modeling, biomedical knowledge graphs, biological aging clocks
Technologies
Python, R, MLops, agentic frameworks
Responsibilities
Partner with experimental scientists to design data-driven approaches for target identification; Apply computational biology and ML to analyze genetic, single-cell, and spatial transcriptomics data; Integrate diverse biological datasets to generate therapeutic hypotheses; Establish reproducible and scalable computational workflows; Contribute to large-scale experiment design across genetics and functional biology
Seniority
Senior, hands-on IC
