Software Engineer, Data Integration

About the role

You will spearhead the engineering effort to build the bridge between massive, complex Electronic Health Record systems and the Bayesian platform. You will work directly with health system clients to turn fragmented data into immediate, actionable clinical insights that empower care teams to make the best decisions for their patients.

Responsibilities

• 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.
• Implement automated integration tests at the data layer and investigate and resolve issues during integration testing.
• Execute the deployment process in close collaboration with the client's technical team to ensure successful production launches.
• Serve as the technical point of contact for data integration issues during go-live weeks.
• Develop frameworks and tooling, leveraging LLMs and automation, to increase the efficiency and velocity of platform integrations.
• Work alongside Implementation Leads and Clinical Integration teams to align the data integration workstream with overall efforts.

Required skills

• Python
• Data pipelines
• API integration
• AWS
• Azure
• PostgreSQL
• MySQL
• Automated integration testing

Nice to have

• Health data
• EHR systems
• HL7v2
• FHIR
• LLMs

Qualifications

• BS in Computer Science
• Equivalent practical experience

About the Company

Bayesian Health is a rapidly growing startup on a mission to make healthcare proactive by empowering clinicians with real-time data. The company is funded by top-tier tech and biotech investors and has been recognized by Forbes AI Top 50, World Economic Forum, and Time Best Inventions.