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DeepHealth
DeepHealth
11 – 50 Darbinieki
KonsultācijasLoģistikaVeselības aprūpe
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.
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Vakances uzņēmumā

Senior Forward Deployment Engineer, Diagnostic Viewer (Remote, US)

Configure DeepHealth’s diagnostic Viewer and AI imaging workflows for healthcare customers. Lead technical discovery, deployments, go-lives, issue resolution and reliability improvements.

USAmerikas Savienotās Valstis
125 000 $ – 135 000 $ / gads
AttālinātiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuDevOps inženieris
AWSAzureGoogle Cloud PlatformMākonis

Apraksts

  • Set the Viewer’s AI adoption strategy, including requirements, customer impact and success measures.
  • Configure the Viewer to fit each customer’s clinical reading workflows.
  • Lead technical discovery on HL7 and DICOM data flows, integrations, migrations, networking and security.
  • Apply implementation insights and best practices to customer deployments.
  • Train implementation teams and customer administrators in configuration.
  • Publish configuration standards, baselines and deployment playbooks.
  • Lead customer-facing technical support during go-lives, hypercare and escalations.
  • Support implementations and resolve Viewer issues with engineering, from reproduction and root cause analysis through resolution.
  • Turn recurring customer needs into standard workflows and product requirements.
  • Triage and track reproducible engineering defects through resolution, keeping customers informed.
  • Configure, deploy and support customer adoption of AI-enabled workflows and agents.
  • Coordinate AI rollout, site readiness and adoption with the Technical Delivery Manager and Product Manager.
  • Validate releases and hotfixes against 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 prepare for upcoming product changes.
  • Contribute as an individual contributor reporting to the Service Engineering Lead, Enterprise Intelligence.

Prasības

  • 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 knowledge of DICOM, including SOP classes, tags, query/retrieve, presentation states and hanging protocols (required).
  • Working knowledge of HL7 v2, including ADT, ORM and ORU (required).
  • Hands-on experience configuring and troubleshooting diagnostic or enterprise imaging viewers (required).
  • Strong understanding of radiology workflows, including RIS, worklists, reading and reporting (required).
  • Working knowledge of cloud-hosted applications on GCP, AWS or Azure, as well as networking and SSO/authentication (required).
  • Ability 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 with ITIL practices (preferred).
  • Adherence to data privacy, compliance, safety and confidentiality standards.
  • Compliance with applicable employment laws and DeepHealth policies and procedures.
  • Regular, punctual attendance.

Priekšrocības

  • Remote work from within the United States.
  • Domestic and international travel of up to 25% for customer discovery, go-lives and escalations.

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