AI platform connecting patients to clinical trials. Activate providers, identify eligible patients, and navigate them through trials across health systems. Backed by Lux.
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.
What they're looking for
- Strong pipeline engineering: ingestion, transformation, and orchestration of data at meaningful scale, with real attention to data quality and reliability
- Deep SQL and PostgreSQL fluency, including schema design and query performance
- Solid Python and comfort working in a codebase with TypeScript
- Deep AWS experience (Lambda, Fargate, SQS, RDS, and the surrounding ecosystem) and the ability to choose the right service for the right job
- Proven track record of leveraging AI coding tools creatively and effectively to build production systems
- Demonstrated ability to take autonomous ownership, identifying and resolving systemic issues independently
More about this role
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 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...
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