Software Engineer, Data Integration

Software Engineer, Data Integration 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. Join us in transforming healthcare from reactive to proactive. You’ll spearhead the engineering effort to build the bridge between massive, complex Electronic Health Record (EHR) systems and the Bayesian platform, delivering critical, real-time insights to help clinicians save lives. 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 You will be at the forefront of a high-impact engineering mission, building the bridge between massive, complex Electronic Health Record (EHR) systems and the Bayesian platform to generate real-time lifesaving clinical insights that clinicians rely on. Working directly with our health system clients' technical teams, you'll turn fragmented data into immediate, actionable clinical insights that empower care teams to make the best decisions for their patients. Each integration is a partnership. An Implementation Lead owns the client relationship and project management; a Clinical Integration owns clinical workflow design and training. You own the technical workstream — which means you're the engineer in the room. When a lab result isn't reaching the Bayesian platform for a patient, you have thirty minutes and the client's full attention to trace it from the inbound HL7 message through parsing, mapping, and ingestion, and tell them what happened. Responsibilities Data Integration & Ingestion: Partner with the client's technical teams to design and implement the data integration interface and ingestion pipelines that feed the Bayesian platform with real-time clinical data, powering insights that improve patient outcomes. Integration Testing & Troubleshooting: Implement automated integration tests at the data layer, and work directly with client technical teams during integration testing to investigate and resolve issues, ensuring smooth and timely integrations. Production Deployment & Go-Live: Execute the deployment process in close collaboration with the client's technical team,