We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
You will play an instrumental role, working closely with product managers, clinicians, software engineers, data scientists, and regulatory, to ensure our clinical AI/ML products exceed enterprise health system quality standards and regulatory requirements for reliable, safe, and effective patient care.
Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
Read more about our recent publication in Nature Medicine that associates our products with lives saved.
What you’ll doYou will work closely with product managers, clinicians, client success, regulatory, data scientists, and other software engineers to develop verification protocols and automated tests ensuring we ship high quality, safe, secure, and regulatory-compliant clinical AI/ML products on a scalable and reliable platform for enterprise health systems. You’ll play an important role to expand and scale our clinical AI/ML module offerings with a high impact on our company revenue growth.
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.
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.
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 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
