Bayesian Health, Inc.

Build and deploy full-stack integrations that connect complex EHR systems with Bayesian Health’s clinical platform, delivering real-time insights directly into care workflows. You’ll own the technical integration workstream, troubleshoot production issues with healthcare clients, and improve integration velocity through automation and LLM-enabled tooling.

Build and own real-time healthcare data integrations that connect complex EHR systems to the Bayesian platform, enabling clinicians to act on lifesaving insights. You’ll work directly with client technical teams across implementation, testing, deployment, and go-live support.

Build and operate secure, scalable cloud infrastructure for a clinical AI/ML platform. You’ll own infrastructure automation, CI/CD, observability, reliability, and an internal AI Ops platform supporting healthcare deployments.

Build the analytics infrastructure, frameworks, and tools that help healthcare teams monitor clinical AI/ML product performance and investigate patient cases. This role combines data platform engineering with cross-functional product analytics in an early-stage healthcare startup.

Own the full lifecycle of real-time clinical machine learning models, from prototyping and tuning through production deployment and monitoring. This hands-on staff role combines data science, applied science, software engineering, and MLOps in a healthcare AI product.