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Lila Sciences

AI-powered scientific discovery for medicines

Agentic and Generative Protein Design Co-op

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
InternshipNo salary listedIn-person

About the Job

Requirements

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

Responsibilities

  • Develop, evaluate, and apply agentic systems for protein design and/or deep generative models for protein design.
  • Build, benchmark, and improve methods for designing proteins, such as antibodies and minibinders, with candidates tested in the lab using experimental data.
  • Build and evaluate agents that help plan protein design campaign strategy, including target and epitope selection and choosing methods and settings.
  • Build agents that execute design campaigns by launching design and filtering runs, diagnosing failures, and adapting the next round.
  • Build agents that reason over biological priors from literature alongside outputs of domain-specific models.
  • Own a well-scoped project and ship code and analyses that inform design decisions and scientific outcomes.

Desired Qualifications

  • Experience customizing agents, building harnesses, or using agents for scientific applications.
  • Technical understanding and experience with generative models.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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