Full-Time

Senior Test Engineer

Clinical AI/ML Products

Posted on 10/31/2025

Bayesian Health

Bayesian Health

11-50 employees

AI-powered clinical data insights platform

No salary listed

Remote in USA

Remote

Category
QA & Testing (2)
,
Requirements
  • BS in Computer Science or other relevant technical discipline.
  • 5+ years of experience in leading testing for complex cross-functional technical projects.
  • 4+ years of experience in developing test cases using automated testing frameworks (Cypress, Selenium, etc.) and executing them in CI/CD pipelines.
  • 4+ years of writing and executing test plans, documenting test results, and tracking issue resolution in tools such as Jira, TestRail, etc.
  • Experience with testing EHR-integrated platforms or products (Epic or Cerner preferred).
  • Experience working cross-functionally with clinicians to align on workflow and product quality expectations.
Responsibilities
  • Clinical AI/ML product quality: Partner with the product subject matter experts (SME) to define test requirements, create and execute test plans, both manual and automated, to ensure our products meet clinical workflow expectations, quality standards, and regulatory requirements.
  • Test automation: Build the framework and tooling to automatically run tests and verification efficiently that will enable us to accelerate our product development and integration.
  • Streamlining client integration testing: Consolidate and simplify integrated testing with our enterprise health system clients to reduce manual testing effort.
  • Cross Functional Collaboration: Work closely with product managers, clinicians, regulatory, data scientists, and other software engineers to drive alignment on quality at the company level and deliver impactful technology that saves lives.
Desired Qualifications
  • Experience with software processes compliant to IEC 62304/IEC 82304.
  • Experience with managing releases to ensure high quality products for enterprise customers.
  • Experience handling ambiguity and uncertainty in a startup.

Bayesian Health uses AI to help hospitals turn raw healthcare data into real-time, actionable insights for clinicians. Its platform continuously analyzes patient data and care workflows to support proactive, higher-quality care, especially for patient outcomes. How it works: a subscription-based platform that integrates with existing hospital systems, processes real-time data, and presents clinicians with actionable insights. It also provides ongoing updates, training, and customization to fit each provider’s needs. How it stands out: it combines rigorous scientific methods with practical AI tools, emphasizes real-time data analysis and proactive care, and offers strong integration and support typical for biotech-grade solutions. Its goal is to improve patient outcomes by enabling care teams to act on timely, data-driven insights inside hospitals.

Company Size

11-50

Company Stage

Late Stage VC

Total Funding

$30.2M

Headquarters

New York City, New York

Founded

N/A

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Simplify's Take

What believers are saying

  • William Porter appointed CCO in 2026 to accelerate sales.
  • Suchi Saria named Modern Healthcare Top 25 Innovator in 2023-2024.
  • Over 4,000 providers adopted platform per research studies.

What critics are saying

  • Epic and Oracle Health native AI erodes bolt-on adoption in 12-24 months.
  • FDA suspends platform for validation failures in 18-36 months.
  • Google releases superior AI platform obsoleting differentiation in 18-24 months.

What makes Bayesian Health unique

  • Bayesian Health uses adaptive framework for patient physiology and workflows.
  • CEO Suchi Saria co-leads NAM's AI Code of Conduct initiative.
  • Platform validated by 24 studies on precision and bias mitigation.

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Benefits

Remote Work Options

Company News

Axios
Jun 3rd, 2023
Health Tech: 📇 Monthly movers

William Porter, former Butterfly Network VP, was named chief commercial officer of Bayesian Health.

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