Foundation Models Scientist — Life Sciences

Lila Sciences, Inc.; San Francisco (CA); Hybrid; USD 176,000 - 304,000; Full time

Job summary

Lila Sciences in San Francisco, CA invites a Scientist I or II to advance structure prediction and co-folding for antibody and biologics design. You will own sub-problems end to end, collaborate with experimental scientists, and contribute to Lila's Lab-in-the-Loop lifecycle.

You will design experiments, train models on biological data, and help translate biological questions into ML problems for end-to-end discovery. This IC role emphasizes independent research and teamwork.

Qualifications

• PhD in Computer Science, Machine Learning, Computational Biology, Biophysics, or related field (or Master's with equivalent research experience).
• Hands-on experience training deep learning models on molecular, protein, or structural data.
• Ability to design careful experiments, ablations, and evaluations.

Responsibilities

• Train and evaluate structure prediction and co-folding models for protein complexes and interactions.
• Build models informed by AlphaFold-style co-folding and diffusion methods.
• Scale training, inference, and evaluation across large GPU clusters.

Skills

Deep learning

Experiment design

Collaborative research

Biology/domain knowledge

Education

PhD in CS/ML/Computational Biology

Tools

PyTorch

JAX

TensorFlow

Job description

Lila Sciences in San Francisco, CA invites a Scientist I or II to advance structure prediction and co-folding for antibody and biologics design. You will own sub-problems end to end, collaborate with experimental scientists, and contribute to Lila's Lab-in-the-Loop lifecycle.

You will design experiments, train models on biological data, and help translate biological questions into ML problems for end-to-end discovery. This IC role emphasizes independent research and teamwork.