Trial Library is a San Francisco–based AI platform that expands access to precision-medicine clinical trials through community clinics and provider networks.
Trial Library is an AI-native research platform with a mission to improve healthcare outcomes by expanding access to precision medicine. About Trial Library Trial Library is an AI-native enrollment and care navigation platform that accelerates access to precision medicine. In collaboration with biopharmaceutical manufacturers, payers, and health systems, Trial Library enables the delivery of clinical trials as a standard care option - improving patient access, advancing oncology outcomes, and reducing the total cost of care. Backed by leading healthcare venture capital firms, Trial Library’s platform is currently deployed in 840+ clinics and 3,000+ providers nationwide. We're hiring a second Staff Engineer to own key parts of our backend and data platform. Our platform supports our teams that identify eligible patients for clinical trials and navigate patients around any barriers to enrolling in a trial. You will take technical leadership of our most critical systems as we navigate a massive architectural shift that will be a step-change in our ability to refer patients to trials: moving from narrow, human-assisted data pulls to robust, automated integrations with EMR systems to ingest complete patient records. If cloud-native architecture, building AI agents to empower our human experts, exploring non-deterministic approaches to patient-trial matching, and handling HIPAA-grade data sounds like the right problem space, please keep reading. Our engineering culture values direct communication, strong ownership, and low-ego collaboration. We laugh a lot and use a ton of Slack emojis. We make decisions quickly, give open feedback, and we have a strong bias toward action.