Clinical Data Integration Engineer

Define Ventures; New York (NY); On-site; USD 140,000 - 160,000; Full time

Job summary

Layer Health is seeking an experienced Integration Engineer to design, develop, and maintain scalable integrations with major EHR systems like EPIC and Cerner. You will troubleshoot data flows, validate interoperability, and create clear documentation for workflows and processes.

The role requires strong Python and SQL skills, familiarity with FHIR/HL7v2, and experience in cloud/SaaS environments. Excellent communication with clients and internal teams is essential.

Qualifications

• 3+ years of experience working with healthcare data in analytics or engineering.
• Strong Python programming skills.
• Solid knowledge of SQL and interoperability standards.
• Experience with EHR integrations and cloud-based environments.

Responsibilities

• Design, develop, and maintain 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.

Skills

Python

SQL

Healthcare data

FHIR

HL7v2

SMART on FHIR

Cloud/SaaS

Communication

Job description

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.

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

• 3+ years of proven experience working with healthcare data in an analytics or engineering role.
• Strong Python programming skills.
• Strong knowledge of SQL.
• 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
• Experience integrating third-party vendor projects with large EHR systems (including Epic), specifically with FHIR.
• 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.

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.