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Harrison.ai

Support Engineer | Teleradiology

RemoteUnited States only
Published
Role
Support
Experience
Mid
Employment
Full-time
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Support Engineer for teleradiology and clinical/IT support in the United States. Requires 4+ years technical support experience and 2+ years supporting clinical systems (PACS/RIS), plus HL7 v2.x and DICOM troubleshooting. Requires Linux server administration and production experience on Google Cloud or AWS.

Core skills

HL7 v2.xDICOMPACS

Required skills

WindowsmacOSLinuxUbuntuRHELMLLPC-STOREC-FINDC-MOVERISEMREHRIntegration engine configurationGCPAWSIPsecFederated single sign-onMicrosoft 365Entra IDSite-to-site VPN

Optional skills

Konica Minolta Exa PlatformExa ViewerMirth ConnectInterlinxCloverleafRhapsodyCorepointEpic

What you'll do

  • Provide Level 2 support to US radiologists and clinical teams (workstations, diagnostic viewers, PACS and RIS) with priority response for clinical workflow interruptions.
  • Troubleshoot HL7 v2.x messages and semantics, and DICOM connectivity and image routing (C-STORE/C-FIND/C-MOVE, AE titles and ports); manage patient identity and daily interface reconciliation.
  • Own Level 2 customer cases across SaaS AI products in Salesforce, manage to contractual SLAs, triage safety complaints and suspected patient harm per the quality system.
  • Provide Level 1/Level 2 corporate IT support and administer business SaaS applications, federated SSO, device management (Intune, Jamf) and endpoint security.
  • Act as first-line incident coordinator across Harrison.ai, vendors and customer facilities; operate hosted cloud infrastructure (Google Cloud, AWS) and support migrations to managed Kubernetes while maintaining HIPAA/GDPR/ISO compliance.

What they require

  • 4+ years in a technical support role spanning end user IT and production systems
  • 2+ years supporting clinical systems (PACS, RIS, EMR/EHR or clinical integration engines) where downtime impacts patient care
  • Demonstrated HL7 v2.x troubleshooting across ADT, ORM, ORU, MDM and DFT including MLLP and ACK/NACK semantics
  • Demonstrated DICOM troubleshooting (C-STORE, C-FIND, C-MOVE, AE title and port configuration) and diagnosis of image routing/retrieval failures
  • Linux server administration (Ubuntu LTS or RHEL) and production workloads on Google Cloud or AWS; experience with site-to-site VPN and federated SSO across multiple identity providers

Benefits

  • Yearly L&D budgets, mentoring, hackathons and secondments
  • Flexible work (WFH options) and flexible hours
  • Backed by investors; over US$240M raised
  • Inclusive family support policies (fertility to parenthood and related supports)
  • Career growth framework and development opportunities

Harrison.ai builds diagnostic AI solutions that support clinicians to deliver earlier, more accurate diagnoses and scale global healthcare capacity.

🇦🇺 AustraliaHealthcare AIStartup
Salary not disclosed