Layer Health

Layer Health

Visit websiteLinkedIn51-200 employeesH1B sponsor

Layer Health builds an LLM-powered platform that synthesizes information from medical records to automate chart review and accelerate clinical registry abstraction for health systems. Spun out of MIT and founded in 2023, the privately held company sells enterprise AI software to hospitals and health systems for clinical and operational workflows. It is backed by GV (Google Ventures), General Catalyst, MultiCare Health System, and Froedtert Health.

Open Positions at Layer Health

5 open positions

Boston, MA, USA or New York, NY, USAMid Level / Senior
$180k - $200k/yr

Build and pilot AI-powered clinical solutions with major healthcare systems, bridging clinical workflows and technical implementation. This customer-facing role combines solution prototyping, healthcare integrations, troubleshooting, and product discovery.

PandasPython
5 months ago
Boston, MA, USA or New York, NY, USAMid Level / Senior
$200k - $250k/yr

Join Layer Health as an ML Scientist to innovate machine learning techniques that enhance clinical information extraction and synthesis in healthcare.

10 months ago
Boston, MA, USA or New York, NY, USASenior
$210k - $250k/yr

Build and deploy scalable machine learning systems that transform complex clinical records into useful healthcare insights. As an early member of Layer Health’s team, you’ll translate LLM research into reliable production products while shaping ML engineering culture.

10 months ago
Boston, MA, USA or New York, NY, USASenior
$140k - $160k/yr

Build and maintain robust healthcare data integrations between Layer Health and leading EHR systems such as Epic and Cerner. This role combines Python engineering, interoperability standards, production troubleshooting, and client-facing communication.

11 months ago
Boston, MA, USA or New York, NY, USASenior
$160k - $200k/yr

Build scalable ML infrastructure and backend systems that turn LLM research into reliable healthcare products. This early-team role combines end-to-end ML engineering, clinical data, and production model quality work in collaboration with research, engineering, and product teams.

over 1 year ago
Contact me