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Dyania Health

Automates EMR review with AI

Forward Deployed Engineering

Full-TimeUpdated on 10/17/2026
$160k - $225k/yr+ Employee stock option plan
Senior
Bachelor's, Master's, PhD
Jersey City, NJ, USA
HybridApproximately 3–4 days per week in the Jersey City office and approximately 1 day per week remote.
Software EngineeringAI Application Engineering
H1B Sponsorship Available

About the job

Requirements
  • A bachelor's degree in Engineering, Computer Science, or a related technical field.
  • At least 5 years of experience as a software engineer using Python or similar coding languages.
  • At least 2 years of technical experience that includes customer-facing work.
  • Experience working with SQL data stores such as MSSQL or Postgres and NoSQL data stores such as MongoDB, including schema design, query-level performance tuning, and data mapping.
  • Experience with containerization using Docker, building and operating services in production, and CI/CD pipelines.
  • Hands-on experience with event-driven or workflow-based architectures, such as queue/worker systems, pub/sub, durable workflow engines, or similar orchestration of distributed, retriable jobs.
  • Experience analyzing systems and providing operational enhancements.
  • Experience communicating risks or failures, adjusting quickly, and fixing issues as needed.
  • Experience leading technical customer sessions for requirements gathering, technical presentations, or debugging.
  • Clear written and verbal communication skills with external and internal stakeholders.
  • Proven capability to operate in fast-moving, high-expectation, founder-led environments.
  • Comfort with ambiguity and rapid scaling.
Responsibilities
  • Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of onboarding end to end in direct partnership with the Clinical Innovations Group and Business Development teams.
  • Prepare deployment timelines and coordinate release schedules alongside release and reliability engineering teams.
  • Collaborate on cybersecurity reviews and other technical evaluations of Synapsis AI, guiding clients to sign-off.
  • Capture technical requirements from clients and drive development of the engineering features needed for efficient and reliable Synapsis AI processing.
  • Own data mapping and integration work during deployment and as new use cases emerge at client sites.
  • Analyze and validate the data environments and data sources Synapsis AI needs to integrate with.
  • Lead database mapping efforts, SQL logic definition, and prioritization of sources of truth across complex medical data pipelines.
  • Build and fine-tune ETL pipelines that provide Synapsis AI with information needed to process clinical projects.
  • Partner with the Clinical Innovations team to implement clinical projects based on the clinical instructions they shape for Synapsis AI.
  • Support Clinical Innovations and Business Development teams with reporting needs to ensure Synapsis AI accuracy and reliability in production.
  • Build pipelines that automate manual tasks across deployment and day-to-day operations.
  • Monitor system activity and service health in partnership with the engineering team and client-side engineering team, proposing enhancements as issues or opportunities arise.
  • Develop, request, or enhance workflows that support day-to-day Synapsis AI operations at each site.
  • Together with the VP of Forward Engineering and in coordination with the Clinical Innovations team, own operational-level technical communication with the client, capturing client- and project-specific needs and translating them into actionable requirements for Engineering, Product, or other internal teams.
Desired Qualifications
  • A master's or PhD degree in AI, Engineering, Computer Science, or a related technical field.
  • Experience as a software engineer on data-intensive systems in healthcare, bioinformatics, or a similarly regulated domain.
  • Experience automating processes using generative AI tools.
  • Experience leading or partnering closely within cross-functional, multidisciplinary teams.
  • Experience working in a startup environment, building products from 0 to 1 and taking systems from conception to launch.
  • Strong understanding of medical terminology, EMR data structures, clinical logic, and research methodology.

About the company

Dyania Health, operating as Synapsis AI, automates the review and abstraction of electronic medical records using AI and medical expertise to interpret patient data. It analyzes EMR content to determine relevance and produce structured outputs for tasks like pre-screening for clinical trials, observational studies, reporting, and quality-of-care monitoring. The company differentiates itself by blending domain-specific medical expertise with AI to automate complex EMR workflows across clinical and research work, not relying on generic automation alone. Revenue comes from a service or subscription model based on EMR volume and task complexity, with the goal of helping providers and research teams work more efficiently.

Company Size

11-50

Company Stage

Series A

Total Funding

$17.6M

Headquarters

Jersey City, New Jersey

Founded

2019

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Simplify's Take

What believers are saying

  • Cleveland Clinic began enterprise-wide rollout in 2025 and expanded access to all investigators.
  • April 2026 testing found Synapsis identified 29 of 30 missed ATTR-CM matches.
  • Dyania’s June 2026 website still markets commercial enterprise use, signaling active go-to-market momentum.

What critics are saying

  • Cleveland Clinic remains the proving ground; failed rollout there would cripple enterprise credibility.
  • Epic and Oracle Health can bundle similar chart-review workflows into existing contracts.
  • If accuracy slips below clinician trust, hospitals abandon Synapsis AI after pilot budgets expire.

What makes Dyania Health unique

  • Synapsis AI embeds in Cleveland Clinic’s EMR across 18 hospitals and 250 centers.
  • The platform claims 95%-plus accuracy on complex chart abstraction and trial matching.
  • Dyania sells clinician-in-the-loop EMR review for oncology, cardiology, autoimmune research.

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Benefits

  • Flexible Work Hours
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays
  • Parental Leave
  • Professional Development Budget
  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

7%
MobiHealthNews
Aug 29th, 2025
Cleveland Clinic, Dyania Health partner for research studies

That same year, Dyania Health closed a $10 million Series A funding round led by HealthX, TechSquare and Cleveland Clinic Ventures, with participation from existing investors.

BacklinkMonk
Oct 24th, 2024
Dyania Health raises $10M from HealthX Ventures and other investors

Dyania Health raises $10M from HealthX Ventures and other investors.

HIT Consultant
Oct 24th, 2024
Dyania Health Secures $10M for AI-Powered Chart Review

Dyania Health, an AI-powered healthcare data company, today announced the close of its $10 million Series A funding round led by Health..

PR Newswire
Sep 19th, 2022
Dyania Health, Inc. raises $5.3M seed to advance their proprietary and physician-built natural language processing technology to drive better outcomes in clinical research.

/PRNewswire/ -- Dyania Health was founded in 2019 and is led by a seasoned entrepreneurial team, NLP data scientists, physicians, and serial drug inventors who...

Dyania Health
Sep 8th, 2022
Innospark Ventures invests into Dyaniahealth in $5.3M

To fuel scale of algorithms and engineering, platform product development, and clinical and pharmaceutical client support, Dyania Health has announced the close of a $5.3 million seed round, led by Innospark Ventures.