Company Overview In July 2026, Cheiron announced an $8 million seed round led by Menlo Ventures, bringing total funding to $13 million to date, with the backing and strategic support of industry veterans including Moderna co-founder and MIT Institute Professor Robert Langer, former Pfizer Chief Medical Officer Freda Lewis-Hall, Chai Discovery co-founder and CEO Josh Meier, former Starbucks CEO Laxman Narasimhan, and former Apple AI chief John Giannandrea. The company's platform helps biopharma teams represent, reason over, and stress-test the full state of a drug development program, including the claims, evidence, assumptions, risks, decisions, and commitments that determine whether a therapy advances. In less than six months since launch, Cheiron has been adopted by tens of thousands of biopharma professionals and deployed by major drug developers, and is already used by 7 of Korea's top 10 biopharma companies.

Cheiron is expanding into pharmaceutical CMC (Chemistry, Manufacturing, and Controls) teams. CMC governs how a drug is made, tested, and kept consistent across its entire commercial life. Today it runs on documents, spreadsheets, and institutional memory.

The team includes leaders with combined decades of experience across pharma and biotech. Headquartered in Los Altos, California. We are building and deploying the product now with rapid expansion into general markets.

We're looking for a Full Stack Engineer, Applied AI to help build Cheiron's core product and infrastructure.



This role spans the full stack — backend systems, AI workflows, RAG and search pipelines, APIs, and the customer-facing product itself. We're looking for a hands‐on builder who can quickly structure ambiguous problems and turn them into highly polished products.

What You'll Do Design and build backend services on Python, FastAPI, and Postgres Develop ingestion, indexing, and search pipelines for life sciences data, including academic papers, clinical, regulatory, safety, and patent sources Build customer-facing features end to end, from the data model to the API to the React/TypeScript frontend Build systems that ground AI-generated outputs in source data with traceable, verifiable citations so they can be trusted in real pharma and biotech work 2+ years of experience shipping production software end to end Strong backend engineering fundamentals and experience designing APIs, databases, and services Full-stack range, comfortable working through the frontend with React and TypeScript Active use of AI coding tools such as Claude Code and Cursor Familiarity with life sciences domain data such as academic literature, clinical trials, regulatory documents, and patents Experience at a seed or early-stage startup 401(K) retirement plan Health insurances (Medical/Dental/Vision) Transportation support for early starts and late nights In-office snack bar and additional commuting and work travel support Cultural Interview

📌 Desarrollador Backend ó Fullstack (León)
🏢 Cheiron
📍 León