Clinical Data Integration Engineer

🏢 Layerhealth · 📍 Boston, Massachusetts, United States, New York, New York, United States 💰 $140,000 - $140,000 / yr

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Position Summary & Responsibilities

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 product

🎯 Candidate Preparation Guide For Layerhealth Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Strict evaluation centers on healthcare data interoperability, strict clinical data privacy standards (HIPAA/PHI), and enterprise AI integration.

📋 Preparation Priorities (Key Areas to Clarify):

1. Proposing move-fast-and-break-things engineering approaches that compromise healthcare data privacy or regulatory compliance.
2. Superficial understanding of clinical workflows and administrative friction points in hospitals.
3. Inability to explain complex technical medical data pipelines to non-technical clinical stakeholders.

✨ Recommended Role Alignment Hook:

I build secure, interoperable health data infrastructure that empowers clinical teams without ever compromising patient privacy.

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