Layer Health Employee Directory
Layer Health corporate office is located in United States and has 11-50 employees.
layer health
Employees by Department
Departments
Number of employees
Engineering & Technical
9
Operations
4
Information Technology
4
Marketing
2
Human Resources
2
Sales
2
Finance
1
Key Employees of Layer Health
Layer Health Global Presence
| Location | People at location |
| North America | 11-50 |
Index of contact profiles from Layer Health
- Product
- United States
- Head of Growth
- United States
- Head of Operations
- United States
- Enterprise Account Director
- United States
- Chief Business Officer
- United States
- Software Engineer
- United States
- FACHECustomer Success
- United States
- Software Engineer
- United States
- Manager, Customer Success
- United States
- Co-Founder
- United States
- Machine Learning Engineer
- United States
- Chief Product Officer
- United States
- Ehr Integration Engineer
- United States
- Product
- United States
- Software Engineer
- United States
- Cancer Informatics Consultant
- United States
- Special Projects Head
- United States
- Clinical Annotation Specialist
- United States
- Product Manager, Products
- United States
- Registry Experience Training Lead
- United States
- Head of Talent
- United States
- Data Engineer
- United States
- Enterprise Growth
- United States
- Contractor
- United States
- Data Integration Implementation Lead
- United States
Former Employees at Layer Health
Explore people who held key positions, contributed to Layer Health's success, and advanced their careers.
Quality Data Specialis... at American Data Network
Worked as Clinical Specialist - SME for GWTG Stroke and ...
at Layer Health (2024-2026)
Advisor To the Foundin... at Broad Institute
Worked as Manager, Operations
at Layer Health (2025-2026)
Resident Physician at Massachusetts General ...
Worked as Clinical Annotation Specialist
at Layer Health
Explore More
Frequently Asked Questions Regarding Layer Health Employees
Layer Healths first product, Distill, handles the information problem using AI to quickly perform any clinical, administrative, or research task requiring unstructured data chart review. And this includes registry submissions, quality measurement, curation of real-world evidence, clinical document improvement, and revenue cycle management.... Read More
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