Bayesian Health
Software Engineer, Application Integration
About this role
Join a healthcare-focused startup building integrations between Electronic Health Record systems and an AI-powered clinical insights platform. You'll architect full-stack solutions that deliver real-time decision support to clinicians, working across technical implementations, testing, and production deployments.
What you'll do
- Extend and configure full-stack applications across EHR integration surfaces to deliver clinical insights to end users
- Develop automated integration tests and collaborate with client technical teams to troubleshoot deployment issues
- Lead production deployments and serve as primary technical contact during go-live week for issue resolution
- Build integration tooling and frameworks leveraging automation to scale platform integrations
- Partner with Implementation Leads and Clinical Integration teams to align technical and clinical workflow requirements
What they're looking for
- Full-stack application development (React, TypeScript)
- API integration and external system connectivity
- Cloud platforms (AWS, Azure)
- Relational databases (PostgreSQL, MySQL)
- Automated testing (integration and end-to-end)
- Production deployment and DevOps practices
- Cross-functional communication and stakeholder management
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Bayesian Health
Bayesian Health builds clinical AI/ML products that provide physicians and healthcare systems with real-time data insights and analytics to improve patient outcomes. The company is hiring infrastructure engineers, full-stack software engineers, forward deployed engineers, and senior engineers to develop scalable cloud platforms, EHR integrations, CI/CD pipelines, and analytics infrastructure that power enterprise healthcare deployments.
- Website
- bayesianhealth.com
Likely interview questions
- Describe your experience integrating external APIs into production applications—what challenges did you face and how did you resolve them?
- Walk us through a production deployment you led; how did you handle issues discovered during go-live?