Senior Forward Engineer – Diagnostic Suite

🕒 Outubro 12

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $135.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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DeepHealth

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

💰 $225.000 Grant em 2019-08

Healthcare • Consulting • Logistics

A DeepHealth é líder global em informática da saúde impulsionada por IA, fornecendo soluções inovadoras projetadas para melhorar a eficiência operacional e a segurança clínica em radiologia. Como uma subsidiária integral da RadNet, Inc. , a DeepHealth oferece um conjunto abrangente de ferramentas de diagnóstico e imagem, incluindo o DeepHealth OS, um sistema operacional pioneiro nativo de nuvem. Suas soluções com IA apoiam programas de diagnóstico em larga escala e otimizam fluxos de trabalho em áreas como detecção de câncer de mama, próstata, pulmão e cérebro. A DeepHealth colabora com instituições de saúde líderes em todo o mundo para transformar práticas de radiologia e melhorar a prestação de cuidados.

Descrição

• Own end-to-end technical solution design of the Diagnostic Suite for assigned customers, combining PACS, Viewer, Reporting, integrations and AI into one clinical workflow • Lead suite-level technical discovery with customers and implementation teams • Produce solution designs and configuration plans for implementation • Lead product-area FDEs and own OS/Core PACS configuration directly • Train and coach implementation teams on suite-level configuration standards • Maintain reference architectures and deployment playbooks • Serve as customer-facing technical lead during go-lives, hypercare and multi-component escalations • Provide technical support for cross-component issues, including root cause analysis and resolution with engineering • Convert recurring customer needs into standardized workflows and product requirements • Own the AI adoption strategy across the Diagnostic Suite • Define AI requirements, customer impact and success criteria for Product and Engineering • Coordinate rollout, site readiness and customer adoption of AI-enabled workflows • Triage, document and track engineering issues and close the loop with customers • Monitor service health with observability tools and participate in incident response • Drive reliability improvements with engineering • Transition best practices to Service and Solution Delivery teams and plan product changes for commercial readiness • Report to the Service Engineering Lead, Enterprise Intelligence; work across Technical Delivery, Product, Service and Solution Delivery teams

🎯 Requisitos

• Bachelor’s degree in Computer Science, Biomedical Engineering, Health Informatics, Information Systems or a related field, or an equivalent combination of education and experience (required) • 8+ years of overall experience in healthcare IT, medical imaging or clinical systems (required) • 5+ years in a customer-facing technical role across multiple enterprise imaging components such as PACS, viewer, reporting or RIS (required) • In-depth knowledge of DICOM and HL7 v2 • Hands-on configuration of PACS and diagnostic viewers • Experience integrating radiology reporting systems such as PowerScribe • Strong understanding of end-to-end radiology clinical workflow • Working knowledge of cloud-hosted applications (GCP, AWS or Azure), networking, storage and SSO/authentication • Ability to communicate technical decisions to radiologists, IT leaders and executives • Microsoft Office experience required • Ability to follow laws, policies, data privacy, compliance, safety and confidentiality standards • 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) • Willingness to travel domestically/internationally up to 25%

🏖️ Benefícios

• Remote work in the United States • Domestic/international travel opportunities up to 25%

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