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DeepHealth
DeepHealth
11 – 50 Angajați
Asistență medicalăConsultanțăLogistică
DeepHealth dezvoltă soluții de informatică medicală bazate pe inteligență artificială pentru radiologie, combinând instrumente de imagistică și diagnosticare cu software pentru fluxurile de lucru, în sprijinul echipelor clinice. Gama sa de produse include DeepHealth OS, un sistem de operare nativ pentru cloud, precum și instrumente pentru detectarea cancerului de sân, de prostată, pulmonar și cerebral. În calitate de filială deținută integral de RadNet, Inc., DeepHealth colaborează cu instituții medicale la programe de diagnosticare și la fluxurile de lucru din radiologie. Compania activează în domeniul tehnologiei medicale și al consultanței.
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Locurile de muncă ale companiei

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.

USStatele Unite ale Americii
125.000 $ – 135.000 $ / an
RemoteNormă întreagăSeniorLiderLimbă Obligatorie: englezăInginer DevOps
AWSAzureCloudGoogle Cloud Platform

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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