About the role
Software Engineer, Full Stack 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 will work closely with product managers, clinicians, data scientists, and other software engineers to build world-class clinical AI/ML products with direct positive impacts to frontline users within leading enterprise health systems.
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, 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 do As a Software Engineer, you will be instrumental in the development and deployment of our clinical AI/ML products within leading enterprise health systems, involving close collaboration with product managers, clinicians, data scientists, and other engineers. Your contributions will be critical for expanding our product offering, directly impacting the company's revenue growth.
Responsibilities Full Stack Product Ownership: Design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI modules in production. AI-Native Development: Leverage AI coding tools (e.g., Claude Code, Cursor) to rapidly build an end-to-end application in production quality grade and AI agents to optimize testing, debugging, and production maintenance. Technical Design and Scoping: Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows. Product Quality : Develop comprehensive and robust automated end-to-end tests to ensure platform and application functional integrity, meeting the