Full Stack Software Engineer, Lab Platform (LIMS)

The Opportunity

insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos.

To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms — that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. This role is based in South San Francisco with an in-person hybrid schedule of three days per week, reporting to the Senior Manager, Software Engineering.

Responsibilities

Full-Stack Ownership

• Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes
• Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks
• Engineering Best Practices: Write code, review design docs, talk to users, and participate in code reviews

Agentic Tooling & Experimentation

• Chase user appreciation by shipping high-impact tools for scientists
• Test agentic tooling ideas through prototypes, real users, and iterative loops
• Contribute work that advances insitro's mission and drug development pace

Cross-Functional Partnership

• Spend time in the lab observing scientific workflows
• Collaborate closely with machine learning, automation, and biology teams
• Design for provenance and verifiability to keep humans in the loop

Qualifications

Experience & Qualifications

• 2–4+ years of experience as a professional software engineer
• Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review
• Strong product instinct and curiosity to learn the biological science domain
• Comfort navigating tradeoffs between quality and speed

Preferred Qualifications

• Experience with LIMS, lab automation, or another life sciences domain
• Experience building with LLMs or agent frameworks (tool and skill design, evaluation, or reliability against real systems)
• Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS