Teams at Cheiron

Translate product concepts into engineering-ready specifications for AI-native pharmaceutical CMC software. Define feature stories, acceptance criteria, edge cases, data models, API contracts, and AI quality standards. Collaborate with product, engineering, design, and life sciences teams to resolve ambiguity, validate regulatory content, and own product quality through delivery.

Own the detailed technical definition of product features, translating concepts into engineering-ready specifications with data models, API contracts, acceptance criteria, edge cases, and state transitions. Collaborate with product, engineering, design, and life sciences teams to resolve ambiguity, validate regulatory content, define correctness for AI features, and maintain quality through delivery. The role focuses on AI-native products for pharmaceutical CMC workflows and requires strong technical writing, architectural reasoning, and comfort working in ambiguous startup environments.

General internship for candidates proposing a specific contribution to Cheiron, an AI-native drug-program operating system. Interns identify a problem, define priorities and deliverables with a team, own projects through execution and handoff, communicate progress, incorporate feedback, and produce reusable work. The role is fully in-person in Los Altos, California, with semester or quarter availability of at least 20 hours weekly or full-time summer availability.