Co-op, Agentic and Generative Protein Design

The role

The co-op will develop, evaluate, and apply agentic systems or deep generative models for protein design. The role involves building and improving methods for designing proteins or building agents to plan and execute design campaigns.

What you will do

• 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.
• Build and evaluate agents that help plan campaign strategy.
• Execute campaigns by launching design and filtering runs, diagnosing failures, and adapting the next round.
• Reason over biological priors from the literature alongside the outputs of domain-specific models.
• Own a well-scoped project.
• Ship code and analyses that feed real design decisions and scientific outcomes.

Required qualifications

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

Nice to have

• Experience with customizing agents, building harnesses, or using agents for scientific applications
• Solid technical understand and experience with generative models

About the company

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory instruments to execute the scientific method autonomously.