Forward Deploy Data Scientist

Layer Health; Boston, New York (MA, NY); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model (Boston/NYC)

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 with ML engineers, data scientists, product managers, and customer success teams to validate data, share insights, and ensure measurable value in clinical workflows.

You will design and deploy ML and LLM-based models, validate data pipelines, and collaborate with health systems and hospital IT teams to deliver robust analytics solutions.

Qualifications

• 2–3 years of professional experience in data science.
• A strong communicator who thrives in a customer‑facing, fast‑paced environment.
• Strong programming skills in Python and fluency with modern data science and ML/NLP libraries.
• Experience with ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms).
• Familiarity with modern applied LLM techniques and their practical implementations.
• Data manipulation, treatment, and evaluation on large datasets.

Responsibilities

• Partner with health systems and hospital customers to understand data, workflows, and goals.
• Design and execute data and ML investigations on large structured and unstructured healthcare datasets.
• Deploy and operationalize ML/LLM-based models and analytics pipelines.
• 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 for 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 data science and product teams.
• Hybrid work option with Boston or NYC offices 2–3 days per week.

Skills

Python

Data Science

ML/NLP libraries

ML Ops

Tools

Airflow

MLflow

dbt

Docker

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.

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 hands‑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.
• 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.

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. 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.