About the role#
This PhD-level co-op joins our Life Science AI team to perform applied machine learning research in protein engineering. You will work with Lila scientists and ML researchers on generative protein design, antibody engineering, and wet-lab-informed model iteration. Your work will directly support our efforts to combine automated data generation with scientific research.
What you'll do#
- Research generative and predictive models for protein and antibody design.
- Analyze experimental datasets to evaluate model outputs and guide design decisions.
- Prototype workflows that link model predictions, candidate prioritization, and wet-lab feedback.
- Build datasets and benchmarks that support both domain-specific and general AI research models.
- Share results through code, notebooks, and presentations.
What you'll need#
- Currently enrolled PhD student in CS, ML, computational biology, bioengineering, biophysics, or a related field.
- Research experience in machine learning, computational biology, or protein engineering.
- Strong Python skills and experience with PyTorch, JAX, or similar frameworks.
- Experience working with biological sequence, structure, or assay data.
- Clear communication and comfort collaborating with cross-disciplinary teams.
- Experience with protein language models, structure prediction, or generative design (diffusion or flow-based models) is a plus.
- Familiarity with antibody design, developability, or wet-lab validation concepts.
- Publications, preprints, or open-source work in ML for biology.
Location & details#
- Location: San Francisco, California
- Modality: On-site
- Employment: Full-time, paid
- Term: Rolling
About Lila Sciences
Lila Sciences operates as a scientific superintelligence platform and autonomous lab. The company focuses on life, chemistry, and materials science. It applies artificial intelligence to the scientific method to assist with research in human health and sustainability. Founded in 2023, the organization maintains its headquarters in Cambridge, Massachusetts. It currently employs 474 people.
How to get in at Lila Sciences
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