You will build an AI-powered platform that empowers scientists in early clinical development to run complex data analyses without writing code. By connecting internal data sources to LLM-driven workflows, you’ll help transition scientists from manual data wrestling to automated, multi-step analytical pipelines, directly accelerating scientific discovery for Phase I and II trials.
Software Engineer at Genentech, Inc.
Join Genentech, Inc. to build an AI-powered clinical data platform that accelerates drug discovery for Phase I and II trials. As a Software Engineer, you will work directly with a principal engineer to develop complex LLM-driven workflows and DAG execution engines that empower 200+ scientists to query data and run analyses without writing code. This $185k contract role offers true feature ownership across a modern Python and React stack, placing you at the intersection of biotechnology and cutting-edge scientific AI tooling in South San Francisco.
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Location
South San Francisco, United States
Compensation
$185k
Company
Genentech, Inc.
Role overview
Genentech, Inc. is an American biotechnology company and a member of the Roche Group that is widely regarded as a pioneer and founder of the modern biotechnology industry. Headquartered at 1 DNA Way in South San Francisco, California, it focuses on discovering, developing, manufacturing, and commercializing innovative medicines for people with serious and life‑threatening diseases, particularly in oncology, immunology, neuroscience, and other complex therapeutic areas. The company uses cutting‑edge genetic engineering, molecular biology, and data‑driven research to create targeted biologic therapies, including monoclonal antibodies and other biologics, and has brought more than 40 medicines to market. As part of Roche, Genentech operates as a key research and early development center, investing heavily in R&D and running hundreds of clinical trials to address unmet medical needs worldwide.
What you will do
- Develop FastAPI endpoints and Celery tasks to orchestrate complex data workflows and async execution across a multi-service Python codebase.
- Design and manage database models using SQLAlchemy and Atlas HCL migrations while integrating data from Snowflake and PostgreSQL.
- Contribute to the scientific user experience by building features in the LibreChat frontend using TypeScript and React within a modern monorepo.
Who this is a fit for
- Has 2–4 years of backend engineering experience with a command of Python and a track record of building scalable, multi-service systems.
- Demonstrates a solid understanding of async and concurrent systems, including practical experience with task queues like Celery or parallel execution frameworks.
- Possesses strong SQL fundamentals and experience navigating Docker-based environments while maintaining a robust, test-driven development culture across a diverse tech stack.
Why this role is remarkable
- Work directly with a principal engineer on high-impact scientific tools, enjoying real end-to-end feature ownership rather than just grinding through tickets.
- Build sophisticated workflow orchestration systems involving SQL, Python, and LLM agent steps composed into declarative DAGs used by over 200 clinical scientists.
- Join Genentech, Inc., a biotech leader where your engineering contributions directly remove technical barriers for researchers working on life-saving treatments and early clinical development.
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