Forward Deployment Engineer
RadNet
Forward Deployment Engineer
RadNet
Outpatient radiology imaging centers with AI
Job Summary
The Forward Deployment Engineer, HL7 Integration helps customers adopt DeepHealth’s Diagnostic Suite correctly by owning how it integrates with their clinical systems. The role combines HL7 and DICOM engineering depth, radiology workflow knowledge and customer communication to design customer integrations, coach implementation teams, resolve complex interface issues, and turn recurring integration needs into standard, configurable product capabilities.
The Forward Deployment Engineering (FDE) function, whose purpose is to help customers adopt DeepHealth products correctly sits at the intersection of the Technical Delivery Manager (TDM), Product, Service and Solution Delivery teams to ensure smooth customer adoption. It transitions best practices to the Service and Solution Delivery teams and plans upcoming product changes with them to ensure commercial readiness.
Essential Duties and Responsibilities
PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
Minimum Qualifications, Education and Experience
Quality Standards
Travel
Working Environment
Salary Range is dependent upon experience:
$125,000-$145,000
RadNet runs a network of 350 outpatient radiology centers across seven states, providing advanced imaging services to patients. Its core offerings include diagnostic imaging (such as X-ray, CT, MRI, and other modalities) performed at clinics and interpreted by radiologists. The company combines imaging technology with artificial intelligence to improve diagnostic accuracy and speed, supporting healthcare providers, patients, regulators, and payers. Revenue comes from patient fees and partnerships with healthcare institutions. RadNet differentiates itself through scale (a large, nationwide outpatient imaging network), ongoing investment in technology and AI, and a focus on standardizing high-quality imaging across its centers. The company’s goal is to expand access to precise, efficient radiology services and to maintain leadership in imaging quality and research by continuously adopting best practices and pioneering radiology-related innovations.
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