Senior / Principal ML Scientist, Foundation Models for Life Sciences
Core
Designing and training large-scale generative foundation models to automate scientific discovery in life sciences, spanning biological sequences, molecular structures, and multimodal data.
Role type
Principal Scientist, Foundation Models for Life Sciences
Builds
End-to-end foundation models integrated into a closed-loop discovery engine for automated scientific discovery
Domain
Life Sciences / Generative AI / Computational Biology
Deliverable
production ML models
Required skills
Large-scale generative model architecture design, Distributed training infrastructure, Problem formulation for ML, Cross-functional collaboration with experimental scientists, ML framework expertise (PyTorch/JAX/TensorFlow), Life science domain fluency
Preferred skills
Computational protein design, Wet-lab validation of biological sequences, Open-source contributions, Agentic frameworks/active learning
Technologies
PyTorch, JAX, TensorFlow, AWS, GCP
Responsibilities
Drive research on foundation models for life science applications, Design and train large-scale generative models on biological data, Contribute to the Lab-in-the-Loop lifecycle, Translate biological questions into ML problems, Advance research standards and methodology, Represent research externally through publications
Seniority
Principal, hands-on IC with strategy & mentorship