Layer Health
AI platform for medical chart review
Layer Health builds an AI layer using large language models to interpret longitudinal medical charts, automating chart review for clinical registries, quality measurement, and research. It serves health systems and life sciences companies to extract insights from unstructured clinical data, improving efficiency and patient care. The platform integrates with EHRs for scalable, clinician-level accuracy.
Product Manager
Product Manager building AI-powered clinical intelligence features. Own features from discovery to launch, partner with engineering and clinicians, and integrate with EHR systems. Requires 2-4 years PM experience and technical curiosity.
Technical Recruiting Lead
Own end-to-end technical recruiting for a high-growth AI healthcare startup. Build talent pipelines for engineering, ML, product, and operations roles while shaping recruiting processes and partnering directly with leadership.
Customer Success Manager
Own customer relationships, serve as the primary point of contact, and proactively identify opportunities to drive customer satisfaction and retention. Manage cross-functional efforts and establish trust with healthcare stakeholders.
Senior Product Manager
Leads product lifecycle for AI clinical intelligence platform, bridging LLM research with clinical environments. Owns AI UX, EHR integrations (Epic, Cerner), production deployment, and clinician feedback loops. Requires 7+ years PM experience in AI/health-tech.
Solutions Engineer
Builds and pilots AI-powered clinical solutions for healthcare systems, bridging clinical needs with technical prototypes using Python and healthcare standards like FHIR/HL7. Collaborates with engineering, product, and customer teams on integrations, troubleshooting, and workflow alignment. Requires 3-5 years healthcare solutions experience.
Data Scientist
Develops and validates LLM/ML models for healthcare chart abstraction from unstructured/structured data, evaluates cutting-edge NLP/AI techniques for clinical problems, and collaborates with customers to optimize workflows. Requires 5-7+ years data science experience including 3-4 years in healthcare.
Engineering Manager, Machine Learning
Leads a team of ML engineers and scientists as a player-coach, driving end-to-end ML systems from research to production deployment for healthcare AI. Requires 7+ years ML experience, 2+ years technical leadership, Python fluency, and bachelor's degree.
ML Scientist
Pioneers innovative ML techniques and builds foundation models for clinical information extraction and synthesis from medical records. Requires PhD in CS/math with NLP/ML focus, high-impact publications, and experience with large-scale model training using PyTorch/JAX.
Senior Fullstack Engineer
Owns end-to-end development of new features and product experiences for internal and customer-facing applications in healthcare AI. Requires 7+ years fullstack experience with TypeScript/React frontend and Python backend, customer collaboration, and hybrid work in Boston/NYC.
Machine Learning Engineer
Designs, develops, and deploys scalable ML systems using LLMs to process clinical data for healthcare applications. Requires 5+ years backend/cloud experience, Python fluency, and familiarity with ML frameworks; works onsite in Boston or NYC.
EHR Integration Engineer
Develops and maintains integrations with EHR systems like Epic and Cerner using Python and standards such as FHIR and HL7. Troubleshoots issues, tests integrations, and communicates with teams and clients. Requires 5+ years experience and strong healthcare interoperability knowledge.
ML Research Engineer
Designs, develops, and deploys scalable ML systems and backend infrastructure for healthcare applications, translating LLM research into production while handling large-scale clinical data. Requires 3+ years ML backend experience, 5+ years software development, and backend languages like Python.