Forward Deploy Data Scientist

Layer Health; Boston; On-site; PHP 9,231,000 - 11,077,000; Full time

Job summary

Layer Health is hiring its first Forward Deploy Data Scientist to translate messy healthcare data into actionable insights and ML-ready pipelines. You will work directly with customers, ML/LLM teams, and product groups to validate data, share insights, and deliver measurable value in clinical and operational workflows.

This is a hands-on, high-impact role requiring collaboration with health systems, hospital IT teams, and internal teams.

Qualifications

• 2–3 years of professional experience in data science, healthcare or clinical applications a bonus but not required.
• Strong communicator who thrives in a customer-focused, fast-paced environment.
• Strong programming skills in Python and fluency with ML/NLP libraries (PyTorch, TensorFlow, HuggingFace).
• Experience with ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms).
• Familiarity with modern applied LLM techniques and practical implementations.

Responsibilities

• Partner with health systems and hospital customers to understand data, workflows, and goals, sharing insights that show product value and opportunities.
• Design and execute data and ML investigations, transforming large structured and unstructured healthcare datasets.
• Deploy, build, and operationalize ML/LLM-based models and analytics pipelines with the product and engineering teams.
• Collaborate with customer success and product teams to improve user engagement through data-driven analyses.
• Communicate results clearly to technical, product, and clinical stakeholders.
• Build reusable playbooks, tools, and best practices to accelerate future implementations.
• Stay current on ML, NLP, and healthcare data technologies and apply them to real-world problems.
• Contribute to a culture of collaboration, innovation, and rigor across teams.

Skills

Strong communication

Problem solving

Team collaboration

Adaptability

Tools

PyTorch

TensorFlow

HuggingFace

Airflow

MLflow

dbt

Docker

Cloud ML Platforms

Job description

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.

Job Description

We're hiring our first Forward Deploy Data Scientist. You'll work directly with customers and internal teams to translate messy healthcare data into actionable insights and machine learning-ready pipelines. You'll work hand-in-hand with our world-class ML and broader engineering team, as well as our product and customer success teams.

You'll partner with our health systems & hospital IT/data teams, as well as internal Customer Success Managers, product managers and software engineers to validate data pipelines, share insights, and ensure our solutions deliver measurable value in clinical and operational workflows. This is a hand-on, high-impact role, ideal for someone who loves working with data, solving ambiguous problems, and collaborating across technical and non-technical stakeholders.

What you'll do:

• 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.

We look for:

• 2-3 years of professional experience in data science (a proven track record of successful projects in healthcare or clinical applications is a bonus, but not required).
• A strong communicator who thrives in a customer-focused, fast-paced environment - must be comfortable presenting to external customers and have a partnered/strategic mindset.
• Strong programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.).
• Experience with ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms).
• Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus).
• 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, alongside an awesome team.
• Willingness to be hybrid with our team in either our Boston or NYC office 2-3 days per week

Nice to have:

• Familiarity with Epic, Cerner, or other EHR systems.
• Experience in forward deploy, field data science, or consulting-style roles.
• Background in AI/ML for healthcare, clinical analytics, or real-world data.

Expected compensation range for this role is $150,000 - 180,000. Compensation 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.

We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.

Join us and help us transform healthcare with AI. 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.