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Co-op, Agentic and Generative Protein Design

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA

Bio & Science AIonsiteintern
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At a glance

Highlights

  • Own a well-scoped project feeding real protein design decisions and science.
  • Design antibodies and minibinders with candidates tested in Lila's lab.
  • Build agents to plan and execute protein design campaigns end to end.

Ideal candidate

A computationally-minded builder excited by AI for science who thrives owning projects end to end and seeing code turn into real wet-lab results.

Requirements

  • Strong Python and computational science background
  • Experience with coding agents
  • Experience with machine learning for molecular design

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
More about Lila Sciences →
Apply on the lab’s site ↗

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