We have built the AI-layer for chart review—to unlock value and improve care by identifying insights from longitudinal medical charts at scale. Backed by GV.
About the role
We’re seeking an experienced Integration Engineer specializing in integrating with common EHRs. The successful candidate will have significant experience using a variety of different protocols (FHIR, HL7, etc.) with leading EHRs such as EPIC and Cerner.
What they're looking for
- Design, develop, and maintain scalable and robust integrations between Layer Health and various EHR systems (EPIC, Cerner, PACS, Cardiovascular systems, LIS, etc.)
- Troubleshoot integration issues and provide timely resolutions to ensure uninterrupted data flow and system interoperability
- Conduct thorough testing and validation of EHR integrations
- Create documentation to support integration processes and workflows
- Communicate project status, issues, feedback, ideas, to various teams
- Be proactive in communication with team members and clients
More about this role
Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.
Here’s a collection of articles about our product, mission, recent funding round, etc.
We’re seeking an experienced Integration Engineer specializing in integrating with common EHRs. The successful candidate will have significant experience using a variety of different protocols (FHIR, HL7, etc.) with leading EHRs such as EPIC and Cerner.
- Design, develop, and maintain scalable and robust integrations between Layer Health and various EHR systems...
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