- Salary
- $168k – $230k/yr
- Location
- San Francisco, CA
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Lever
Description
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.
About the Role
We're hiring a Staff Data Engineer to own the pipelines that move patient data through our platform, from EMR systems to the workflows our teams use to identify eligible patients for clinical trials and help them enroll.
This is the center of a major architectural shift for us: moving from narrow, human-assisted data pulls to robust, automated integrations that ingest complete patient records. The clean, complete, and trustworthy data you’ll manage powers our AI-assisted patient-trial matching. If healthcare data at HIPAA-grade stakes, messy real-world inputs, and pipelines that genuinely change patient outcomes sound 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 have a strong bias toward action.
How We Build with AI
AI is deeply embedded in how we work, in our product, and in our SDLC. Our embrace of it didn't come from a mandate but from our own desire as engineers to do more, safely. We use it for coding, testing, measuring, and iterating, and we treat it as a genuine competitive advantage. We're looking for someone who shares that instinct: excited to question long-standing processes and think ambitiously about what's possible when you pair strong engineering fundamentals with AI tooling. If you're already building that way, you'll fit right in.
Underneath it all is a modern platform built on AWS (Lambda, Fargate, SQS, RDS, Bedrock) with Pulumi-managed infrastructure. Our backend is primarily TypeScript, and our data layer centers on PostgreSQL and Drizzle. We care about pragmatic architecture, developer velocity, and systems that evolve as fast as our product and AI capabilities do.
