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.
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We're seeking an experienced EHR 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 you'll do- 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.
What we look for- 5+ years of experience as an integration engineer, software engineer, or related discipline.
- 2+ years of proven experience integrating third-party vendor projects with large EHR systems (including Epic), specifically with FHIR.
- Strong Python programming skills.
- Strong knowledge of healthcare interoperability standards, including FHIR, HL7v2, and SMART on FHIR.
- Proficiency in solution design principles and practices, system development methodologies, and software life cycles.
- Familiarity with diverse technical integrations, technologies, and processing environments, including cloud and SaaS technologies.
- Skilled in solving complex production issues.
- Excellent verbal and written communication skills, with the ability to effectively communicate challenges and issues directly with clients.
Nice to have- Epic Certification(s)
- Prior experience with HL7, DICOM, and other interoperability standards
- Cloud experience
Expected compensation range for this role is $140,000-160,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.
If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.
Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.
Join us and help us transform healthcare with AI.
