Director / Senior Director, Machine Learning for Biology
Core
Lead the Institute of Computing (IoC) to build machine learning capabilities that answer critical biological questions and drive breakthroughs in cell rejuvenation and resilience.
Role type
Director / Senior Director, Machine Learning for Biology (Hands-on IC with strategic leadership)
Builds
Machine learning systems for biological data modalities (single-cell, perturbation-response, spatial, sequence) to support cell health restoration.
Domain
Biotechnology / Computational Biology / Artificial Intelligence
Deliverable
production ML models
Required skills
Large-scale ML training procedures, foundation model pretraining/fine-tuning/RL, multimodal generative and predictive modeling, hybrid modeling (identifiability, robustness, interpretable methods), reasoning and open-ended learning framework design, model alignment for scientific discovery
Preferred skills
Strategic thinking, long-term optimization, culture of continuous learning, technical innovation, deciphering AI trends
Technologies
Normalizing flows, diffusion models, LLMs, anchor models, energy-based models
Responsibilities
Co-define and steer the core technical agenda for ML in biology; lead a team of ML Scientists and Engineers while providing direct technical guidance; provide technical and strategic guidance on project design and de-risking; mentor team members and grow the ML bench; influence technical direction in a matrixed environment
Seniority
Senior Director, hands-on IC with strategic mentorship