USA remote
Senior Design Quality Engineer
About this role
Senior Design Quality Engineer In Brief We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. You'll safeguard product quality for an FDA-cleared, AI-driven clinical platform, from design controls while we build, to complaint investigation once it's live in hospitals, to the quality system and regulatory record that hold it all together.
Who We Are 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, AI 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.
Recent recognitions include Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, and BioTech AI Company of the Year. Read more about our peer-reviewed research in Nature Medicine associating our products with improved patient outcomes. About the Role Bayesian ships FDA-cleared, AI clinical decision support software directly into Epic and Oracle Health workflows at health systems across the country.
Every release, every model update, and every clinician report that an alert didn't behave as expected runs through a quality and regulatory system that has to be as rigorous as the software itself. You will help drive that system. This role intentionally wears multiple hats. We're a small company, and we need one person who can do several things well: engineer quality into the software as it's built, handle the post-market side once it's in production, and keep the quality management system and our regulatory obligations current as we scale.
You'll work directly with engineering, data science, clinical, and implementation teams, with support from company leadership, while under the direction of the Head of Quality and Regulatory. You're the engineer in the room on quality questions. When a hospital reports that the model flagged a patient late, you decide whether it's a complaint, whether it's reportable, and what changed in the software or the data. You can read the code, the logs, and the test evidence to find out.