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AI-powered clinical intelligence platform for healthcare chart review

Co-Founder

Layer Health Named to the 2026 New York Digital Health 100

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Machine Learning Engineer

Layer Health is building an AI platform that synthesizes information from medical records to reduce friction in healthcare. The Machine Learning Engineer will design, develop, and deploy scalable ML software systems for healthcare, translating LLM research into production and collaborating with engineering, research, and product teams to build reliable ML-native enterprise platforms.

Head of Finance

Layer Health is an AI healthcare company building technology that synthesizes information from medical records and accelerates clinical chart review. The Head of Finance will own financial modeling and reporting, support capital strategy and fundraising, partner with leadership and the board, and grow the finance function as the company scales.

Engineering Manager, Machine Learning

Layer Health is a healthcare technology company building an AI layer that synthesizes medical-record information to reduce friction in healthcare. The Engineering Manager, Machine Learning will lead and mentor ML engineering and science teams, shape ML strategy, and oversee the development, evaluation, deployment, and scaling of reliable clinical-grade LLM systems.

Customer Success Manager

Layer Health is an AI healthcare company building technology that synthesizes information from medical records. The Customer Success Manager will manage hospital and healthcare customer relationships, drive adoption and retention, relay product feedback, develop success metrics, and help establish scalable customer success processes.

Forward Deployed Data Scientist

Layer Health is an AI healthcare company building an LLM-powered platform to synthesize medical-record information and improve clinical workflows. The Forward Deployed Data Scientist will work with customers and internal teams to translate complex healthcare data into actionable insights, validate data pipelines, and deploy machine learning and LLM-based solutions. The role also involves communicating findings, improving user engagement, and developing reusable implementation tools and best practices.

Account Director

Layer Health is building an AI layer that synthesizes medical-record information to reduce friction in healthcare. The Account Director will lead and grow partnerships with large enterprise health system customers, owning renewals, expansion, strategic alignment, and customer outcomes while partnering across internal teams to accelerate value.

ML Research Engineer

Layer Health is a company founded by leading machine learning researchers from MIT and Harvard Medical School, focused on building an AI layer to synthesize information from medical records. They are seeking an exceptional ML Engineer to design, develop, and deploy scalable ML software systems to address challenges in healthcare, collaborating with various teams to enhance their products.

ML Scientist

Layer Health is a pioneering company founded by leading machine learning researchers from MIT and Harvard Medical School, focused on creating an AI layer to enhance healthcare. The ML Scientist role involves designing and implementing advanced machine learning techniques to improve clinical information extraction and synthesis, while fostering a collaborative R&D culture.

Solutions Engineer

Layer Health, founded by leading machine learning researchers from MIT and Harvard Medical School, is focused on building an AI layer to enhance healthcare. The Solutions Engineer will work with health system customers to pilot clinical solutions, leveraging technical expertise to bridge clinical requirements with innovative solutions.

Senior Data Scientist

Layer Health is a company founded by leading machine learning researchers from MIT and Harvard Medical School, focused on reducing friction in healthcare through AI. They are seeking a Senior Data Scientist to advance their applied ML and data science capabilities, specifically in healthcare, by developing and evaluating innovative solutions.