---
title: 'Forward Deployed Data Scientist at Layer Health'
canonical: 'https://feeny.ai/job/forward-deployed-data-scientist-layer-health-boston-jx7hmhsnv3h3'
type: 'job'
last_seen: '2026-09-04'
---

# Forward Deployed Data Scientist at Layer Health

- **Company:** Layer Health
- **Location:** Boston, MA
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/layerhealth/jobs/5392521008

## 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.](https://www.layerhealth.com/resources)

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:

- 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.

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.

## About Layer Health

## Company Overview
- **One-liner**: Layer Health provides an AI-powered clinical intelligence platform that automates medical chart review and clinical registry abstraction for health systems.
- **Entity Type**: Private (Series A-II)
- **Headquarters**: Brookline, Massachusetts, United States
- **Founded**: 2023
- **Founders**: Monica Agrawal, Divya Gopinath, David Sontag, Steven Horng

## Core Business
- **Primary industry/industries**: Healthcare AI, Clinical Informatics, Digital Health
- **Target customers**: B2B – health systems, hospitals, and life sciences organizations
- **Mission or purpose statement**: "Change how information is fundamentally processed in healthcare" by deploying AI to solve real clinical problems, ensuring the right care at the right time and place.

## Products & Services
- **Clinical Registry Automation**: AI-supported abstraction that works across service lines (cardiovascular, surgery, oncology) – validated to achieve 50%+ time savings in 10 weeks or less.
- **Custom Quality Metric Abstraction**: Automates extraction of any custom variable (e.g., SSI, discharge medicine Rx) from the full clinical record with evidence-backed accuracy.
- **Clinical Pathways**: Identifies eligible patients for high-value, guideline-aligned procedures by reasoning across the entire longitudinal record.
- **Site of Care Optimization**: Screens patients against complex protocols to decant low-acuity cases and backfill hospital capacity with more complex procedures.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding raised – $33.55M (as of latest Series A-II)
- **Notable Investors/Partners**: Intermountain Health (strategic investment and multi-year AI deployment), Johns Hopkins Medicine (multi-year collaboration), White Plains Hospital
- **Growth Signals**: Named to the 2026 New York Digital Health 100; listed in CB Insights’ 50 Most Promising Digital Health Startups; multiple live implementations at leading U.S. health systems.

## Competitive Advantages
- **Elite team**: Founded by AI and clinical leaders from MIT, Harvard Medical School, and Google; team holds 200+ peer-reviewed publications
- **Validated accuracy**: Model accuracy validated on customer data and proven to match or exceed human performance
- **Continuous improvement**: Models are continuously monitored and improve with every piece of feedback
- **Native workflow integration**: AI modules integrate directly into existing clinical workflows with dedicated change management support

## Strategic Focus
- **Deepen enterprise partnerships**: Expand multi-year AI deployments with major health systems (e.g., Intermountain Health, Johns Hopkins)
- **Scale across service lines**: Move beyond initial registry automation into quality measurement, clinical guidance, and site-of-care optimization
- **Drive adoption and ROI**: Move from pilots to production with measurable time and cost savings for clients

## Why Work Here
- **Culture**: "Clinicians, scientists, and engineers" motivated by real-world impact and a shared vision of tomorrow’s healthcare world
- **Team**: Small but growing team (around 20-50 employees) with deep expertise in ML, clinical medicine, engineering, and commercial execution
- **Locations**: Hybrid/office roles based in Boston, MA (Brookline) and New York, NY; some contractor roles are fully remote
- **Engineering culture**: Heavy emphasis on machine learning, backend infrastructure, data science, and product engineering – open roles include ML Engineer, ML Scientist, Research Engineer, Fullstack Engineer, SRE, and Data Scientist
- **Perks**: Not explicitly listed, but the company offers dedicated change management and continuous improvement support to its teams

## Sources
1. [layerhealth.com (Home)](https://www.layerhealth.com/)
2. [layerhealth.com (Company)](https://www.layerhealth.com/company)
3. [greenhouse.io (Jobs)](https://job-boards.greenhouse.io/layerhealth/jobs/5025477008)
4. [cbinsights.com](https://www.cbinsights.com/company/layer-health)
5. [linkedin.com](https://www.linkedin.com/company/layerhealth)

## Other roles at Layer Health

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- [Clinical Quality Data Abstraction Specialist - GWTG (Contractor)](https://feeny.ai/job/clinical-quality-data-abstraction-specialist-gwtg-contractor-layer-health-wfvwaej4f9r4) — United States
- [Clinical Quality Data Abstraction Specialist - CathPCI (Contractor)](https://feeny.ai/job/clinical-quality-data-abstraction-specialist-cathpci-contractor-layer-health-ea5m4vaykevt) — United States
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- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-layer-health-boston-ywx6xr9tr74z) — Boston, MA
- [Account Director](https://feeny.ai/job/account-director-layer-health-boston-nyc-or-qh32rdyyf9ft) — Boston Nyc OR, United States
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- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-layer-health-boston-massachusetts-united-states-new-york-new-g46t6vw6xmvr) — Boston Massachusetts United States New York New York, United States