Bayesian Health

Builds and deploys full-stack integrations connecting a healthcare platform with complex EHR systems and clinical workflows. The role requires 3+ years of production application experience, cloud and database expertise, automated testing, deployment support, and strong cross-functional communication.

Builds and deploys real-time clinical data integrations between EHR systems and a healthcare platform. The role requires 3+ years of production data pipeline experience, Python, cloud and relational database expertise, integration testing, and deployment support.

Builds and maintains scalable AWS infrastructure, CI/CD pipelines with GitHub, and secure AI Ops platform for clinical AI/ML products. Requires 5+ years in DevOps/SRE, Kubernetes proficiency, Terraform expertise, and healthcare compliance experience.

Leads AI/ML organization by setting technical vision, building and mentoring data scientists/ML engineers, architecting scalable ML infrastructure, and hands-on prototyping models for healthcare applications. Requires PhD, 8+ years shipping ML products, and 3+ years leading ML teams.

Builds analytics infrastructure, frameworks, and tools for monitoring clinical AI/ML product performance, enabling clinical case reviews, and driving cross-functional insights. Requires 5+ years experience with Python, SQL, cloud data platforms, and handling sensitive health data.

Leads clinical health system accounts through implementation, adoption, and expansion using data-driven strategies. Requires clinical background (nurse/therapist) and 5+ years in client success/account management to drive renewals and outcomes.

Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.

Owns end-to-end ML lifecycle from prototyping clinical prediction models to productionizing and deploying them using production-grade Python/SQL. Requires PhD +3yrs or Master's +5yrs experience with MLOps tools like SageMaker/MLFlow.

Leads revenue growth by developing sales strategies, managing accounts in hospital systems, and building relationships with C-level executives to drive adoption of AI healthcare solutions. Requires 7+ years in healthcare/SaaS sales, team leadership, and data-driven decision making.