Full-Time

Physician Informatician

MD required

Layer Health

Layer Health

51-200 employees

AI platform for clinical chart review

Compensation Overview

$200k - $260k/yr

+ Equity

United States

In Person

MD

Category
Medical, Clinical & Veterinary (1)
Required Skills
Python
SQL
Machine Learning

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Requirements
  • 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.
Responsibilities
  • 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.

Layer Health builds an enterprise AI platform for healthcare chart review. It uses a healthcare-focused large language model (LLM) to analyze longitudinal patient charts, enabling clinicians and life sciences teams to answer complex clinical questions, automate clinical registries, and generate quality measurements. The system works by processing patient charts through modules that support registry data submission, real-world evidence abstraction, and patient registries, with emphasis on accuracy, configurability, and security. It differentiates itself from competitors through healthcare-specific validation, enterprise-grade security/compliance, and a broad set of use cases tailored to both health systems and life sciences, enabling faster, more reliable data analysis with fewer administrative burdens. Its goal is to streamline chart review, improve data quality, and free clinicians to focus more on patient care by delivering actionable insights and reliable data faster.

Company Size

51-200

Company Stage

Series A

Total Funding

$25M

Headquarters

Brookline, Massachusetts

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Layer Health raised $21 million Series A in March 2025, extending runway.
  • Froedtert reported 65% faster abstraction, strengthening sales claims and references.
  • ACS and Johns Hopkins partnerships expand into research and oncology registries through 2026.

What critics are saying

  • Epic, Optum, and point-solutions can bundle chart abstraction into broader contracts by 2027.
  • Validation dependence on hospital-specific workflows slows rollouts and exposes accuracy failures.
  • If registry buyers distrust LLM evidence trails, Layer Health becomes a pilot-only vendor.

What makes Layer Health unique

  • MIT-spun Layer Health automates clinical registry abstraction with longitudinal-chart LLMs.
  • Intermountain Health deployment spans 33 hospitals, proving enterprise workflow depth.
  • Johns Hopkins Medicine chose Layer Health for multi-year registry automation in 2025.

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Benefits

401(k) Retirement Plan

Stock Options

Wellness Program

Remote Work Options

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

1%

2 year growth

-3%
EIN Presswire
Jun 17th, 2025
Layer Health Receives Strategic Investment and Multi-Year AI Deployment with Intermountain Health

Collaboration brings AI-powered medical chart review for clinical registry reporting to drive care quality, operational efficiency across multi-state footprint

RamaOnHealthcare
Jun 17th, 2025
AI takes on clinical data at Intermountain Health

Salt Lake City-based Intermountain Health is partnering with health AI company Layer Health to streamline how it manages clinical data.

Yesil Science
May 22nd, 2025
White Plains Hospital Collaborates with Layer Health for Enhanced Clinical Registry Reporting

In March, Layer Health successfully raised $21 million in Series A funding, led by Define Ventures, with participation from notable investors such as Google Ventures, Flare Capital Partners, and MultiCare Capital Partners.

Healthcare IT Today
Apr 29th, 2025
Layer Health Secures $21M to Revolutionize AI Chart Review

Layer Health has raised $21 million in Series A funding to enhance its AI platform for medical chart review. Led by Define Ventures, with participation from Flare Capital Partners, GV, and MultiCare Capital Partners, the funding will help scale the platform, grow the team, and improve healthcare efficiency. The AI leverages large language models to extract insights from medical records, reducing costs and improving patient care. The platform is already delivering significant returns for early partners.

OOJO
Apr 2nd, 2025
Big Tech is Investing Heavily Into the Future of AI Healthcare and So Can You

Meanwhile, private firm Layer Health secured $21 million in new funding to tackle the challenge of scaling AI in healthcare, with backing from Define Ventures, Flare Capital Partners, GV, and MultiCare Capital Partners.