PhD Co-op: Generative AI for Protein & Antibody Design

Lila Sciences, Inc.; San Francisco (CA); On-site; USD 41,000 - 69,000; Full time

Job summary

Lila Sciences, Inc. is a PhD-level co-op opportunity in the Life Science AI team. You will contribute to applied ML research in protein engineering, including generative design and antibody engineering, while collaborating with scientists and ML researchers.

The role emphasizes model iteration with wet-lab feedback and communication of results through code, notebooks, and presentations. The ideal candidate is a currently enrolled PhD student with ML or protein engineering experience, strong

Qualifications

• PhD student in CS/ML/ computational biology or related field.
• Research experience in ML or protein engineering.
• Strong Python skills; experience with PyTorch or JAX.
• Experience with biological sequence/structure/assay data.
• Clear communication and cross-disciplinary collaboration.

Responsibilities

• Research generative and predictive models for protein and antibody design.
• Analyze experimental datasets to evaluate model outputs and guide design decisions.
• Prototype workflows linking model predictions, candidate prioritization, and wet-lab feedback.
• Share results through code, notebooks, and presentations.

Skills

PhD student

ML research

Python programming

Communication

Biology data handling

Tools

PyTorch

JAX

Job description

Lila Sciences, Inc. is a PhD-level co-op opportunity in the Life Science AI team. You will contribute to applied ML research in protein engineering, including generative design and antibody engineering, while collaborating with scientists and ML researchers.

The role emphasizes model iteration with wet-lab feedback and communication of results through code, notebooks, and presentations. The ideal candidate is a currently enrolled PhD student with ML or protein engineering experience, strong