Remote Senior Software Engineer, Test Frameworks & Automation

Description:

• Bayesian Health is an early-stage startup focused on making healthcare proactive by providing real-time data to healthcare professionals.
• The Senior Software Engineer will work closely 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 both manual and automated test plans, building test automation frameworks, streamlining client integration testing, and collaborating cross-functionally 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 in 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 in 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.
• Candidates 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 investors and has received multiple awards, providing a stable and innovative work environment.
• The role offers the opportunity to have a significant impact on company revenue growth by expanding and scaling clinical AI/ML module offerings.
• Employees will work in a collaborative environment that emphasizes the importance of quality and safety in healthcare technology.