Senior Forward Engineer – Diagnostic Suite

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $135k - $150k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 20%

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DeepHealth

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $225k Grant on 2019-08

Healthcare • Consulting • Logistics

DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.

📋 Description

• 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

🎯 Requirements

• 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%

🏖️ Benefits

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