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Software Development Engineer in Test

Bayesian Health

Salary not specified
Aug 26, 2025
Remote, US
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Bayesian Health aims to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. The company needs to ensure its clinical AI/ML products meet enterprise health system quality standards and regulatory requirements for reliable, safe, and effective patient care.

Requirements

  • 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 with software processes compliant to IEC 62304/IEC 82304.
  • Experience with managing releases to ensure high quality products for enterprise customers.

Responsibilities

  • 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.
  • Build the framework and tooling to automatically run tests and verification efficiently that will enable us to accelerate our product development and integration.
  • Consolidate and simplify integrated testing with our enterprise health system clients to reduce manual testing effort.
  • 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.

Other

  • BS in Computer Science or other relevant technical discipline.
  • 5+ years of experience in leading testing for complex cross-functional technical projects.
  • Experience working cross-functionally with clinicians to align on workflow and product quality expectations.
  • Experience handling ambiguity and uncertainty in a startup.