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Day 79
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Boston or NYC
Live, first seen by us 79 days agoBackground 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.Read the full posting
Partner with health system customers to understand their data, workflows and goals
Design and run data and ML investigations on large healthcare datasets
Deploy and operationalize ML and LLM-based models and analytics pipelines
Communicate results and insights to technical, product and clinical stakeholders
Build reusable playbooks, tools and best practices for future implementations
Partner directly with health systems and hospital customers to understand their data, workflows, and goals
Design and execute data and ML investigations— validating, and transforming large structured and unstructured healthcare datasets
Deploy, build, and operationalize ML and LLM-based models and analytics pipelines
Communicate results and insights clearly to technical, product, and clinical stakeholders
Build reusable playbooks, tools, and best practices to accelerate future implementations
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Day 79
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,019 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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).
- 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).
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 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:
We look for:
Nice to have:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Boston or NYC
- 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:
No clear work-authorization passage found. Eligibility is unconfirmed.