---
title: 'Senior Fullstack Engineer at Layer Health'
canonical: 'https://feeny.ai/job/senior-fullstack-engineer-layer-health-boston-1v1wbgj460ks'
type: 'job'
last_seen: '2026-10-16'
---

# Senior Fullstack Engineer at Layer Health

- **Company:** Layer Health
- **Location:** Boston, MA
- **Posted:** 2026-09-28
- **Last confirmed live:** 2026-10-16
- **Apply:** https://job-boards.greenhouse.io/layerhealth/jobs/5436362008

## 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)

We’re seeking exceptional engineers to join our seed-stage company as early members. Together, we will create the AI layer that will redefine healthcare for the better.

Job Description

We’re hiring an experienced product-minded full stack engineer to join our team. In this role, you will own the end to end development of new features and product experiences to supercharge Layer Health’s internal and customer facing applications.

You can expect to:

- Design, build, and maintain scalable and performant APIs and web applications.
- Speak with customers to understand their needs and design solutions to address them.
- Collaborate on a cross-functional team to design and ship new product features/experiences.
- Cultivate a robust engineering and product culture that drives the company forward.
- Work closely with Layer’s engineers to design highly scalable, fast, and secure applications deployed in critical healthcare environments.

We look for:

- 7+ years of experience in full stack software development, with the ability and flexibility to traverse the stack when necessary.
- Fluency in Typescript, React, and other modern web technologies (we use React).
- Fluency in one or more backend languages (we use Python).
- A strong communicator who thrives in a customer-focused, fast-paced environment.
- A proactive problem-solver with a strong sense of ownership and the ability to work independently.
- An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
- We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome).

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.

Expected compensation range for this role is $180,000-220,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. 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.

## 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

- [Senior Manager, Demand Generation](https://feeny.ai/job/senior-manager-demand-generation-layer-health-boston-massachusetts-united-jzptjs65rvcz) — Boston Massachusetts United States New York New York, United States
- [Head of Corporate and Information Security](https://feeny.ai/job/head-of-corporate-and-information-security-layer-health-boston-massachusetts-0z12t4edp344) — Boston Massachusetts United States New York New York, United States
- [Forward Deployed Data Scientist](https://feeny.ai/job/forward-deployed-data-scientist-layer-health-boston-jx7hmhsnv3h3) — Boston, MA
- [Director of Finance](https://feeny.ai/job/director-of-finance-layer-health-boston-g0m4c8azqde9) — Boston, MA
- [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
- [Physician Informatician (MD required)](https://feeny.ai/job/physician-informatician-md-required-layer-health-united-states-xp71gxwkvetb) — United States
- [Account Director](https://feeny.ai/job/account-director-layer-health-boston-nyc-or-qh32rdyyf9ft) — Boston Nyc OR, United States
- [Engineering Manager, Machine Learning](https://feeny.ai/job/engineering-manager-machine-learning-layer-health-boston-xws1mvq9myc0) — Boston, MA
- [Clinical Data Integration Engineer](https://feeny.ai/job/clinical-data-integration-engineer-layer-health-boston-massachusetts-united-6nvpc5c1px2f) — Boston Massachusetts United States New York New York, United States