Layer Health

Data Scientist

Boston or NYC

Sponsorship not specified$180k-$200kDetected 160 days ago

PythonMachine LearningTensorFlowPyTorchData ScienceNLPLLMsPatient CareAdaptability

About the role

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.

is dependent on experience, overall fit to our role, and candidate location.
Expected compensation ranges for this role may change over time.
If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role.
We will make a determination as to whether an exception can be made.
If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement.
We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways.

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.
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.
Work hand-in-hand with our customers to best leverage Layer Health's platform and supercharge their workflows.

We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need.

This listing is sourced directly from Layer Health's careers page and normalized into a canonical job model.