DeepHealth
DeepHealth
DeepHealth develops AI-powered health informatics for radiology, combining imaging and diagnostic tools with workflow software to support clinical teams. Its product suite includes DeepHealth OS, a cloud-native operating system, and tools for breast, prostate, lung, and brain cancer detection. As a wholly owned subsidiary of RadNet, Inc., DeepHealth works with healthcare institutions on diagnostic programs and radiology workflows. The company operates in healthcare technology and consulting.

Senior Forward Deployment Engineer, Medical Imaging

DeepHealth’s Forward Deployment Engineer configures its diagnostic Viewer and AI-enabled imaging workflows for customer implementations. The role supports deployments, go-lives, escalations, and service reliability across the United States.

Aprašymas

  • Set Viewer AI adoption goals and define requirements, customer outcomes, and success measures.
  • Configure the Viewer for assigned customers by aligning product settings with clinical reading workflows.
  • Lead technical discovery of HL7 and DICOM data flows, integrations, migration data, network needs, and security requirements.
  • Work with implementation teams to incorporate lessons learned and proven practices into customer configurations.
  • Train and coach implementation teams and customer administrators.
  • Create configuration standards, baselines, and deployment playbooks.
  • Act as the customer-facing technical lead during go-lives, hypercare, and escalations.
  • Support implementations and resolve complex Viewer issues through reproduction, root cause analysis, and collaboration with engineering.
  • Turn recurring customer needs into standardized workflows and product requirements.
  • Triage, document, and track engineering defects through resolution and customer follow-up.
  • Configure, deploy, and support AI-enabled workflows and agents as they become available.
  • Coordinate rollouts, site readiness, and customer adoption with Technical Delivery and Product teams.
  • Validate releases and hotfixes using representative customer configurations.
  • Monitor service health, join incident response, and work with engineering to improve reliability.
  • Share best practices with Service and Solution Delivery teams and plan product changes for commercial readiness.

Reikalavimai

  • Bachelor’s degree in Computer Science, Biomedical Engineering, Health Informatics, Information Systems, or a related field, or equivalent education and experience (required).
  • At least 8 years of experience in healthcare IT, medical imaging, or clinical systems (required).
  • At least 5 years in a customer-facing technical role involving PACS or enterprise imaging (required).
  • In-depth DICOM knowledge and working knowledge of HL7 v2 (required).
  • Practical experience configuring and troubleshooting diagnostic or enterprise imaging viewers (required).
  • Strong understanding of radiology workflows, including RIS, worklists, image reading, and reporting (required).
  • Working knowledge of cloud-hosted applications, networking, and SSO or authentication (required).
  • Able to explain technical decisions to radiologists, IT leaders, and executives, including during escalations (required).
  • Experience with Microsoft Office (required).
  • Imaging informatics or clinical credential such as CIIP, PARCA, or ARRT(R) (preferred).
  • Experience deploying or supporting clinical AI applications in radiology (preferred).
  • Experience in a regulated medical device environment and familiarity with ITIL practices (preferred).
  • Adherence to data privacy, compliance, safety, and confidentiality standards.
  • Able to travel domestically and internationally up to 25%.

Privalumai

  • Remote work within the United States.
  • Domestic and international travel of up to 25%.

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