Senior Researcher — Generative Antibody Design & AI Modeling

Storm3; California; On-site; USD 200,000 - 300,000; Full time

Job summary

You will collaborate with biologists and platform engineers to translate models into therapeutic candidates, publish findings, and contribute to advancing digital antibody discovery.

Qualifications

• Deep expertise in antibody design, protein modeling, or structural biology.
• Hands-on model training experience with PyTorch or JAX.
• Experience distributed training across multiple GPUs.
• PhD or Master’s in ML, computational biology, CS, or equivalent research.
• Publications at NeurIPS, ICML, or ICLR.
• Strong drive for innovation in foundational research.

Responsibilities

• Design, train, and evaluate deep learning models for antibody and protein engineering.
• Predict binding affinity, maturation potential, developability, and de novo design.
• Scale models on large GPU clusters and integrate with wet-lab data.
• Collaborate with engineers and biologists to translate models into candidates.
• Publish findings and contribute to open-source tools.

Skills

Antibody design

Protein modeling

Structural biology

Deep learning

PyTorch

JAX

Distributed training

Education

PhD or Master’s in ML/Computational Biology/CS

Tools

GPU clusters

Job description

You will collaborate with biologists and platform engineers to translate models into therapeutic candidates, publish findings, and contribute to advancing digital antibody discovery.