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About the Role

Layer Health is seeking its first Forward Deploy Data Scientist to translate messy healthcare data into actionable insights and machine learning-ready pipelines. This role involves close collaboration with customers, internal ML and engineering teams, and product and customer success teams to validate data pipelines, share insights, and ensure solutions deliver measurable value in clinical and operational workflows. It's an ideal position for someone passionate about data, solving ambiguous problems, and cross-functional collaboration.

Responsibilities

Partner directly with health systems and hospital customers to understand their data, workflows, and goals, sharing data insights that enable our customers to understand our product value and areas of opportunity.
Design and execute data and ML investigations— validating, and transforming large structured and unstructured healthcare datasets with state of the art models to ensure accuracy and trustworthiness.
Deploy, build, and operationalize ML and LLM-based models and analytics pipelines in collaboration with the broader engineering and product teams.
Work hand-in-hand with customer success and product teams to understand and improve user engagement through data-driven analyses.
Communicate results and insights clearly to technical, product, and clinical stakeholders.
Build reusable playbooks, tools, and best practices to accelerate future implementations and improve customer outcomes.
Stay current on emerging ML, NLP, and healthcare data technologies and proactively apply them to real-world clinical problems.
Contribute to a culture of collaboration, innovation, and rigor across the data science and product teams.

Requirements

2-3 years of professional experience in data science.
A strong communicator who thrives in a customer-focused, fast-paced environment.
Comfortable presenting to external customers and have a partnered/strategic mindset.
Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically.
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.
Willingness to be hybrid with our team in either our Boston or NYC office 2-3 days per week.

Skills

Python
PyTorch
Tensorflow
HuggingFace
ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms)
Modern applied LLM techniques and their practical implementations
Epic
Cerner
EHR systems
AI/ML for healthcare
Clinical analytics
Real-world data

Location

Boston
NYC

Work Type

Hybrid
Full-time

Experience Level

Mid-level

Salary/Compensations

$150,000 - $180,000

About the Company

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.

Equal Opportunity

Layer Health is committed to foster an environment of inclusion that is free from discrimination.
We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.