Co-op, AI for Protein Design
Lila Sciences · San Francisco, CA USA · San Francisco, CA
Bio & Science AIonsiteinternship
At a glance
Highlights
- Contribute to applied ML research in generative protein and antibody design.
- Prototype workflows linking model predictions to wet-lab feedback loops.
- Build datasets and benchmarks advancing scientific superintelligence mission.
Ideal candidate
A curious PhD researcher passionate about AI-driven protein engineering who thrives in cross-disciplinary teams and turning wet-lab insights into impactful design iterations.
Requirements
- Currently enrolled PhD student in CS, ML, computational biology, bioengineering, biophysics or 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
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation
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