Senior Machine Learning Scientist
Core
Build ML models and AI agents to interpret somatic mutation data and predict variant effects on protein function for drug target discovery.
Role type
Senior Machine Learning Scientist (IC)
Builds
Production ML models for variant effect prediction and agentic AI workflows for hypothesis testing
Domain
Biopharma / Somatic Genomics / Computational Biology
Deliverable
production ML models
Required skills
Python, deep learning (PyTorch, JAX), protein language models, structure-based modeling, variant-effect prediction, agentic AI workflows, foundation model adaptation, single-cell genomics analysis
Preferred skills
biomedical foundation models, causal inference, perturbation modeling, large-scale biological datasets
Technologies
PyTorch, JAX, ESM, AlphaMissense
Responsibilities
Build and evaluate models predicting variant effects on protein function; interpret somatic selection signals; design and evaluate AI agents for evidence retrieval and analysis; train and fine-tune foundation models for target discovery; use AI coding tools to accelerate development; communicate technical results to non-specialists
Seniority
Senior, hands-on IC
