Intern - Life Science Automation and AI

Spring 2026 Co-op/Internship OpportunityWe’re looking for motivated students to join our team starting in January/February 2026 for a spring co-op or internship. This is a great opportunity to gain hands-on experience, contribute to meaningful projects, and develop your skills in a fast-paced, collaborative environment. If you’re eager to learn and make an impact, we’d love to hear from you!

Company Summary

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

What You'll Be Building

You’ll work closely with the Automation and Applied AI teams to work on building AI-ready templates, creating and training a documentation creating AI agent, and surfacing knowledge to Agentic AI. By doing so, you will enable faster, more consistent documentation practices that scale with Lila’s growth and empower teams across departments to work more efficiently.

What You’ll Need to Succeed

• Familiarity with AI tools for content generation, summarization, or knowledge management.
• Experience with documentation management and version control systems (e.g., Git, Confluence, Notion, or similar).
• Excellent written and verbal communication skills, with attention to clarity and consistency.
• Proven ability to work cross-functionally and translate complex technical concepts into accessible resources.
• Excellent critical thinking and problem solving skills. 

Bonus Points For

• Background in automation, engineering, or life sciences environments.
• Knowledge of structured data formats (e.g., JSON, YAML, Markdown).