About the role
About Clara
Clara is building the first AI-first medical practice from the ground up. We're reimagining primary care and providing patients with deep insights and immediate diagnosis and treatment in ways not previously possible.
Unlike most health AI startups, we deliver actual care — our clinical team writes prescriptions, orders labs, and manages patients. You'll build the data infrastructure that powers real medical decisions, not a demo.
Clara's founders have built and scaled a previous telemedicine company to over $100M in revenue and we're funded by top investors.
What You'll Build
You'll own Clara's data foundation — the pipelines that ingest, normalize, and deliver patient health records to our AI and clinical team. Healthcare data is notoriously messy (FHIR bundles, CCDAs, scanned PDFs, lab feeds), and you'll turn that chaos into clean, structured data our AI can reason over.
You'll work directly with our clinical team — physicians and nurse practitioners who depend on what you build to treat real patients every day.
Your Responsibilities
Data Ingestion & ETL (50%)
- Build pipelines to ingest medical records from HIEs, EHRs, and patient uploads
- Process FHIR bundles, HL7 messages, and CCDAs into normalized data models
- Extract structured data from unstructured sources (PDFs, scanned documents, XML, HTML, JSON)
- Handle webhook processing for real-time data feeds
- Build robust error handling and data validation
Data Infrastructure (30%)
- Design and maintain data models optimized for AI retrieval and clinical workflows
- Build efficient storage and retrieval systems on AWS (S3, DynamoDB)
- Implement data compression strategies for large medical records
- Create data sanitization and PII handling pipelines
