---
title: 'Physician Informatician (MD required) at Layer Health'
canonical: 'https://feeny.ai/job/physician-informatician-md-required-layer-health-united-states-xp71gxwkvetb'
type: 'job'
last_seen: '2026-09-11'
---

# Physician Informatician (MD required) at Layer Health

- **Company:** Layer Health
- **Location:** United States
- **Posted:** 2026-01-29
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/layerhealth/jobs/5101749008

## 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 an exceptional candidate to join our company as a part of the growing Clinical Informatics team. Together, we will create the AI layer that will redefine healthcare for the better.

What you'll do:

- In collaboration with the Customer Success and Product teams, perform detailed workflow analysis at client hospitals to understand clinical workflows and help design AI-based interventions.
- Contribute to and help maintain an advanced interoperability layer, transforming FHIR, HL7, CCDA, and other common data standards to a common data layer.
- Contribute to the design and development of an advanced data layer that supports both machine learning R&D as well as real-time inference for embedded clinical applications.
- Use your strong clinical and informatics knowledge to participate in data modeling, harmonization, normalization, and transformation efforts.
- Work collaboratively in a fast-paced environment with cross-functional teams including engineering/research, customer success, and business to execute on the informatics vision and help invent the next iteration of human-AI collaboration in healthcare.
- Create excellent documentation to allow other team members to self-serve on internal and external informatics topics, previously defined workflows, and data sources.

What you'll need:

- You are an exceptional Clinical Informatician with significant experience in analyzing and redesigning healthcare IT workflows and a history of successfully launching new products/features in a hospital setting (EPIC, Cerner, etc.).
- You are eager to tackle new challenges and quickly acquire new skills and abilities. You thrive in an environment primed for innovation at every level: theoretical machine learning, user interface design, human-AI collaboration, etc.
- You excel at algorithmic thinking and have fluency with at least one programming language (preferably Python) as well as beginner to intermediate SQL skills.
- You have a working knowledge of natural language processing (NLP) methods.
- You have an understanding of common healthcare standards and ontologies (FHIR, HL7, ICD10, CPT, RxNorm, etc.)
- You are a MD/DO Physician who has completed primary specialty training (residency)
- You have advanced training in clinical informatics, through fellowships, post-graduate training, advanced degrees (master’s or PhD), or work experience.
- You’re adaptable and excited to work in a fast-paced environment that is ambitious, changing rapidly, and often breaking new ground.
- You have exceptional verbal and written communication and presentation skills.

Expected base salary compensation range for this role is $200K-$260K (plus equity). 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.

Layer Health is committed to fostering 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.

Join us and help us transform healthcare with AI.

## 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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- [Head of Finance](https://feeny.ai/job/head-of-finance-layer-health-boston-g0m4c8azqde9) — Boston, MA
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- [Clinical Quality Data Abstraction Specialist - CathPCI (Contractor)](https://feeny.ai/job/clinical-quality-data-abstraction-specialist-cathpci-contractor-layer-health-ea5m4vaykevt) — 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
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- [Customer Success Manager](https://feeny.ai/job/customer-success-manager-layer-health-boston-c9dkbnf01vns) — Boston, MA