About the role#
Lila Sciences is seeking a PhD student to join the Life Science AI team as a Co-Op. This position focuses on applied machine learning research at the intersection of AI and biology. You will contribute to projects involving protein engineering, antibody design, and the development of generative and predictive models for biomolecule design. You will work directly with scientists and ML researchers to bridge the gap between computational design goals and experimental outcomes.
What you'll do#
- Contribute to ML research projects focused on protein engineering, antibody design, and related biomolecule design problems.
- Explore generative and predictive modeling approaches for protein sequence, structure, function, and developability.
- Collaborate with scientists to translate biological design goals into tractable computational problems.
- Analyze biological and experimental datasets to identify patterns, evaluate model outputs, and guide design decisions.
- Prototype workflows that connect model predictions, candidate prioritization, and wet-lab feedback.
- Communicate research results through code, notebooks, and presentations to technical collaborators.
What you'll need#
- Current enrollment as a PhD student in Computer Science, Machine Learning, Computational Biology, Bioengineering, Biophysics, or a related quantitative field.
- Research experience in machine learning, computational biology, protein engineering, or a closely related area.
- Strong programming skills in Python and experience with modern ML frameworks such as PyTorch or JAX.
- Ability to work with biological sequence, structure, assay, or other scientific datasets.
- Interest in applying ML methods to real biological design problems in partnership with experimental scientists.
- Experience with protein language models, structure prediction, generative protein design, or antibody design is preferred.
- Familiarity with protein structure, biophysics, developability, or wet-lab validation concepts is a plus.
Location & details#
- Location: San Francisco, California
- Work Modality: On-site
- Employment Type: Full-time
- 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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