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RadNet

Outpatient radiology imaging centers with AI

Forward Deployment Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$125k - $145k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Biomedical Engineering, Health Informatics, Information Systems, or a related field, or an equivalent combination of education and experience.
  • At least 8 years of overall experience in healthcare IT integration or clinical systems.
  • At least 5 years of hands-on HL7 v2.x interface design and support in a customer-facing or implementation role, ideally in radiology or imaging.
  • Expert-level experience with at least one integration engine; Mirth Connect or NextGen Connect is strongly preferred, and Rhapsody, Cloverleaf, or Corepoint is acceptable.
  • Strong understanding of radiology order-to-result workflows across RIS, PACS, modality worklists, reporting, and EHR.
  • Working knowledge of DICOM, including mapping HL7 order data to DICOM attributes and modality worklists.
  • Proficiency in JavaScript for interface transformers, SQL, and message/log analysis.
  • Ability to work directly with customer IT, interface analysts, and clinical stakeholders, including in escalated situations.
  • Experience with Microsoft Office.
  • Follow applicable local, regional, and country employment laws, company policies and procedures, and data privacy, compliance, safety, and confidentiality standards.
  • Demonstrate confidentiality, professionalism, integrity, initiative, and reliable attendance; complete responsibilities in a quality and timely manner.

Responsibilities

  • Own integration solution design for assigned customers, mapping radiology order-to-result workflows across RIS/EHR, worklists, PACS, Viewer, reporting, and results to HL7 and DICOM interface configuration.
  • Lead technical discovery with customers and implementation teams, covering interfaces, message types, code sets, migration data, and cutover requirements.
  • Build, configure, and validate interfaces in Mirth Connect or NextGen Connect, including mappings, transformers, routing, and test message sets.
  • Partner with the implementation counterpart to incorporate learnings and best practices into customer configuration and implementations; train and coach implementation teams and customer interface analysts on the standard interface specification and correct configuration; publish integration playbooks and baselines.
  • Serve as the customer-facing technical lead for integration during go-lives, hypercare, and escalations.
  • Provide implementation support as the escalation point for HL7 and integration issues, including root cause analysis and resolution with engineering; this work is approximately 20–30% of the role.
  • Establish change control for site-specific interface customizations, including documentation, versioning, and rollback plans aligned to product releases.
  • Convert recurring interface needs into standard, configurable product capabilities and requirements to reduce one-off custom integrations.
  • Own the AI adoption strategy for clinical data integration by defining requirements, expected customer impact, and success criteria, and conveying them to Product and Engineering.
  • Configure and support adoption of AI-enabled workflows that depend on clinical data integration, such as AI report drafting using prior and clinical data, coordinating rollout, site readiness, and customer adoption with the Technical Delivery Manager and Product Manager.
  • Own engineering issue escalations from assigned accounts by triaging, documenting reproducible defects, tracking status with engineering, and closing the loop with customers.
  • Support site reliability for HL7 in assigned accounts by monitoring service health with observability tools, participating in incident response, and driving reliability improvements with engineering.
  • Travel domestically and internationally up to 25%, primarily for customer discovery, go-lives, and escalations.

Desired Qualifications

  • Experience with FHIR R4 and IHE profiles, including SWF, PIR, and XDS.
  • An imaging informatics credential such as CIIP or PARCA.
  • Experience in a regulated medical device environment, including FDA 21 CFR 820 and ISO 13485, and with ITIL practices.

About the Company

RadNet

Outpatient radiology imaging centers with AI

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.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
1981

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