Teams at Bayesian Health

Own software design quality, risk management, change control, complaint investigations, post-market surveillance, CAPAs, QMS maintenance, regulatory submissions, FDA interactions, and AI/ML medical-device compliance. Partner with engineering, data science, clinical, implementation, and commercial teams to maintain audit-ready quality systems for an FDA-cleared clinical software platform.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

The Infrastructure Engineer will build and maintain cloud infrastructure, develop CI/CD pipelines, ensure security compliance, and optimize system performance for healthcare applications.