Co-op, Agentic and Generative Protein Design

Lila Sciences; Cambridge, San Francisco (MA, CA); On-site; USD 28,000 - 41,000; Part time

Job summary

Lila Sciences, Inc. is seeking a motivated co-op to join its AI for therapeutic protein design team, split between Cambridge, MA and San Francisco, CA.

You will contribute to edge AI methods that connect computation with the wet lab, shaping real design decisions and scientific outcomes. Work will focus on generative models and agentive systems for protein design campaigns, with opportunities to build, benchmark, and ship code that advances our design objectives.

Qualifications

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

Responsibilities

• Own a well-scoped project and deliver code and analyses that feed real design decisions and scientific outcomes.
• Develop, evaluate, and apply agentic systems for protein design and/or deep generative models for protein design.

Skills

Python

Computational science

Agents coding

Machine learning for molecular design

Job description

Co-op, Agentic and Generative Protein Design

Cambridge, MA USA; San Francisco, CA USA

Our team works on AI methods for therapeutic protein design, with a tight loop between computation and the wet lab. A co-op could take on either of two tracks, or a mix of both. (1) Generative models and protein design pipelines: build, benchmark, and improve methods for designing proteins (such as antibodies and minibinders), with candidates tested in our lab so results are grounded in experimental data. (2) AI agents for protein design campaigns: build and evaluate agents that help plan campaign strategy (target and epitope selection, choosing methods and settings), execute campaigns (launching design and filtering runs, diagnosing failures, adapting the next round), and reason over biological priors from the literature alongside the outputs of domain-specific models. Either way, the co‑op would own a well-scoped project, ship code and analyses that feed real design decisions and scientific outcomes.

What You'll Be Building

• Develop, evaluate, and apply agentic systems for protein design and/or deep generative models for protein design.

What You'll Need to Succeed

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

Bonus Points For

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

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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