Remote Software Development Engineer in Test

at Bayesian Health, Inc.

Posted 1 day ago 2 applied

Description:

  • Bayesian Health is an early-stage startup focused on making healthcare proactive by providing real-time data to healthcare professionals.
  • The Software Development Engineer in Test will collaborate with product managers, clinicians, software engineers, data scientists, and regulatory teams to ensure clinical AI/ML products meet quality standards and regulatory requirements.
  • The role involves developing verification protocols and automated tests to ensure high-quality, safe, secure, and compliant products for enterprise health systems.
  • Responsibilities include defining test requirements, creating and executing test plans, building test automation frameworks, streamlining client integration testing, and collaborating across functions to align on quality.

Requirements:

  • A Bachelor’s degree in Computer Science or a relevant technical discipline is required.
  • A minimum of 5 years of experience leading testing for complex cross-functional technical projects is necessary.
  • At least 4 years of experience in developing test cases using automated testing frameworks such as Cypress or Selenium and executing them in CI/CD pipelines is required.
  • Candidates must have 4 years of experience writing and executing test plans, documenting test results, and tracking issue resolution using tools like Jira or TestRail.
  • Experience with testing EHR-integrated platforms or products, preferably Epic or Cerner, is essential.
  • The candidate should have experience working cross-functionally with clinicians to align on workflow and product quality expectations.

Benefits:

  • Employees will be part of a diverse team committed to improving patient outcomes through data-driven insights.
  • The company is backed by top-tier tech and biotech investors, providing a stable and innovative work environment.
  • Employees will have the opportunity to work on impactful technology that directly contributes to saving lives.
  • The role offers a chance to expand and scale clinical AI/ML module offerings, significantly impacting company revenue growth.

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