Full-Time

Director of Finance

Layer Health

Layer Health

51-200 employees

AI platform for clinical chart review

Compensation Overview

$160k - $200k/yr

Boston, MA, USA

In Person

Bachelor's

Category
Finance & Banking (2)
,
Required Skills
Forecasting
Financial analysis
Financial Modeling

Get referred to Layer Health

See people who can refer or advise you

Requirements
  • 5+ years experience in startup, investment banking, private equity, venture capital, or corporate finance.
  • Will be willing and able to work with the key financial and operational systems needed to run a high-performing finance and accounting function.
  • You work well across the organization — partnering with Sales, Legal, Operations, and Tech leadership to manage contracts, negotiate vendors, and keep the business running efficiently.
  • Highly detail-oriented — you don't just trust the model, you understand what's underneath it.
  • A sharp, confident communicator who can hold their own in a room with experienced investors.
  • Bachelor's degree in Finance, Accounting, or a related field.
Responsibilities
  • Own the financial narrative. Today, critical financial modeling and reporting are being pieced together ad hoc by leaders who have other full-time jobs to do. You'll build the frameworks and models that make sense of a business scaling this fast, and turn it into a story the board and investors can trust.
  • Be the person who goes deeper than anyone else. Leadership needs someone who won't settle for a topline number — who will dig into what's actually driving spend, growth, or risk, and surface the real answer before it becomes a problem or lost opportunity.
  • Sit at the center of capital strategy. As the company prepares for its next raise, you'll work directly with the CEO, leadership and board to shape how Layer's financial story gets told — and get real exposure to what a raise looks like from the inside.
Desired Qualifications
  • Direct exposure to a fundraising, Mergers and Acquisitions, or due diligence process is a plus.

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

Get referred to Layer Health

See people who can refer or advise you

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.

Help us improve and share your feedback! Did you find this helpful?

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.