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Bayesian Health

AI-powered clinical data insights platform

Software Engineer - Application Integration

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science or equivalent practical experience.
  • At least 3 years of experience building and deploying full-stack applications into production, including integration with external APIs; React and TypeScript are preferred.
  • Ability to investigate and resolve application issues end-to-end.
  • Experience with cloud solutions such as AWS or Azure and relational databases such as PostgreSQL or MySQL in a production environment.
  • Experience writing automated integration and end-to-end tests for production systems.
  • Ability to collaborate across functions, including with Product Managers, to align priorities and deliver results.

Responsibilities

  • Extend and configure the full-stack application across the EHR integration surface, coordinating with client EHR and clinical informatics teams to deliver clinical insights to clinicians.
  • Implement automated integration tests and work with client technical teams and frontline clinicians during integration testing to investigate and resolve issues and ensure integrations are smooth and timely.
  • Execute deployment in collaboration with the client's technical team, promoting application and workflow configurations and builds to production.
  • Serve as the technical point of contact for application integration issues during go-live week, providing status updates to cross-functional partners.
  • Develop frameworks and tooling, leveraging large language models and automation, to increase integration efficiency and velocity.
  • Work alongside an Implementation Lead, Clinical Integration, and client technical teams to align the application integration workstream with the overall integration effort.

Desired Qualifications

  • Experience building EHR-embedded applications such as SMART on FHIR, CDS Hooks, or Epic launch integration.
  • Experience rolling out production deployments, supporting systems through go-live via an on-call or support rotation, and triaging production issues.
  • Experience working with enterprise customers and responding to their needs.
  • Experience building internal tooling or automation, including leveraging large language models, to improve engineering velocity.

About the Company

Bayesian Health

AI-powered clinical data insights platform

Bayesian Health uses AI to help hospitals turn raw healthcare data into real-time, actionable insights for clinicians. Its platform continuously analyzes patient data and care workflows to support proactive, higher-quality care, especially for patient outcomes. How it works: a subscription-based platform that integrates with existing hospital systems, processes real-time data, and presents clinicians with actionable insights. It also provides ongoing updates, training, and customization to fit each provider’s needs. How it stands out: it combines rigorous scientific methods with practical AI tools, emphasizes real-time data analysis and proactive care, and offers strong integration and support typical for biotech-grade solutions. Its goal is to improve patient outcomes by enabling care teams to act on timely, data-driven insights inside hospitals.

Company size
11-50
Company stage
Late Stage VC
Total funding
$30.2M
Headquarters
New York City, New York
Founded
Not listed

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