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Forward Deployment Engineer, HL7 Integration

DeepHealth

Remote · United States$10,417–12,083 gross/mofull-timeDeepHealth Careers

The Forward Deployment Engineer, HL7 Integration helps customers adopt DeepHealth’s Diagnostic Suite correctly by owning how it integrates with their clinical systems. The role combines HL7 and DICOM engineering depth, radiology workflow knowledge and customer communication to design customer integrations, coach implementation teams, resolve complex interface issues, and turn recurring integration needs into standard, configurable product capabilities.

Responsibilities

  • Own integration solution design for assigned customers, mapping the radiology order-to-result workflow (RIS/EHR, worklists, PACS, Viewer, reporting, results) to HL7 and DICOM interface configuration.
  • Lead integration technical discovery with customers and implementation teams, covering interfaces, message types, code sets, migration data and cutover requirements.
  • Build, configure and validate interfaces in the integration engine (Mirth Connect / NextGen Connect), including mappings, transformers, routing and test message sets.
  • Partner with the assigned implementation counterpart for this workstream to adopt learnings and best practices into customer configuration and implementations; train and coach implementation teams and customer interface analysts on the standard interface specification and correct configuration; publish integration…
  • Serve as customer-facing technical lead for integration during go-lives, hypercare and escalations.
  • Provide implementation support as the escalation point for HL7 and integration issues during implementation, including root cause analysis and resolution with engineering (approximately 20–30% of time).
  • Establish change control for site-specific interface customizations, including documentation, versioning and rollback plans aligned to product releases.
  • Convert recurring interface needs into standard, configurable product capabilities and requirements, reducing one-off custom integrations.
  • Own the AI adoption strategy for clinical data integration: define requirements, expected customer impact and success criteria, and feed them back to Product and Engineering.
  • Configure and support adoption of AI-enabled workflows that depend on clinical data integration (e.g., AI report drafting using prior and clinical data), coordinating rollout, site readiness and customer adoption with the Technical Delivery Manager and Product Manager.

Languages

    Work format
    Remote
    Seniority
    Mid
    Posted
    7 Oct 2026
    Last verified
    In the last 5 days

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