We have built the AI-layer for chart review—to unlock value and improve care by identifying insights from longitudinal medical charts at scale. Backed by GV.
About the role
We’re hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare.
What they're looking for
- Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data
- Apply and rigorously evaluate cutting-edge methods to solve real clinical problems
- Work hand-in-hand with our customers to best leverage Layer Health’s platform and supercharge their workflows
- Stay up-to-date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable
- Establish and enforce best practices for data science and analytics
- Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward
More about this role
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 hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare.
- Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured...
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