Contract Data Scientist

Layer Health • Boston, MA

3d • Hybrid

About The Position

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.

You will work with the Layer Health ML team applying our existing ML workflow to tailor models for a specific clinical use case. You will design, build, evaluate, and iterate on these models — combining strong data science fundamentals with modern LLM techniques to deliver high-accuracy, production-ready solutions across new clinical domains.
This is a high-velocity, high-ownership role for someone who enjoys diving deep into error modes, making targeted improvements, and closing the loop between model performance and real-world impact.

Requirements

• Good data science fundamentals, including knowledge of best practices for evaluating model performance and error analysis.
• Familiarity with modern applied LLM techniques and their practical implementations, for example e.g. standard prompting techniques, LLM frameworks, structured output usage, etc.
• Solid programming skills in Python.
• A strong technical communicator who thrives in a fast-paced environment.
• Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
• Willingness to be hybrid with our team in either our Boston or NYC office 3 days per week.

Nice To Haves

• A proven track record of successful projects in healthcare or clinical applications is a bonus, but not required.
• any experience using these techniques is a bonus

Responsibilities

• Own end-to-end development of models for specific use cases: Build and iterate using our ML/LLM-powered workflows for new clinical areas, from initial prototyping through production refinement.
• Conduct evaluation & error analysis: Own rigorous evaluation of model performance; perform deep error analysis to identify systematic failure modes and drive targeted improvements.
• Ship frequent, high-quality updates to models based on data, feedback, and observed edge cases.
• Leverage LLM application & tooling: Apply modern LLM techniques (prompting strategies, structured outputs, tool use, eval frameworks) to improve accuracy and robustness.
• Support analytics & metrics: Contribute to metrics, reporting, and internal dashboards that track model performance and downstream impact.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed