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RadNet

Outpatient radiology imaging centers with AI

Forward Deployment Engineer Reporting Pro

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 is required.
  • At least 8 years of overall experience in healthcare IT, medical imaging, or clinical systems is required.
  • At least 5 years in a customer-facing technical role for radiology reporting systems, such as reporting system administrator, applications or technical consultant, implementation engineer, or L3 engineer, is required.
  • Working knowledge of HL7 v2 (ADT, ORM, ORU), including how orders link to reports and how signed reports, addenda, and corrections are distributed to RIS and EHR, is required.
  • Hands-on configuration of report templates, macros, structured reporting, and speech recognition, including at least one reporting system go-live or migration, is required.
  • Strong understanding of radiology clinical workflow, including RIS, worklists, reading, dictation, sign-off, and critical results communication, is required.
  • Working knowledge of cloud-hosted applications (GCP, AWS, or Azure), storage, networking, and SSO/authentication is required.
  • Ability to communicate technical decisions to radiologists, IT leaders, and executives, including in escalated situations, is required.
  • Microsoft Office experience is required.
  • The role requires domestic and international travel up to 25%, primarily for customer discovery, go-lives, and escalations.
  • The role requires adherence to data privacy, compliance, safety, and confidentiality standards; universal safety precautions; applicable employment laws; and company policies and procedures.

Responsibilities

  • Own technical solution design and configuration of Reporting Pro for assigned customers, mapping reporting workflows to configuration, including report templates, macros, structured reporting, speech recognition, sign-off and addendum rules, critical results, and user roles.
  • Lead technical discovery with customers and implementation teams, covering reporting workflow, legacy reporting systems, HL7 order and result flows, report distribution to RIS and EHR, and network and security requirements.
  • Build and validate report templates and structured reporting content with radiologists, and plan migration of templates and macros from legacy reporting systems through cutover.
  • Partner with the assigned implementation counterpart to incorporate learnings and best practices into customer configuration and implementations; train and coach implementation teams and customer reporting administrators on correct configuration; and publish configuration standards, template libraries, and deployment playbooks.
  • Serve as the customer-facing technical lead during go-lives, hypercare, and escalations, communicating status, options, and expectations to clinical and IT stakeholders.
  • Provide implementation support as the L3 escalation point for Reporting Pro issues in assigned accounts, including report delivery failures, root cause analysis, and resolution with engineering, for approximately 20–30% of the role.
  • Convert recurring customer needs into standardized workflows and product requirements, distinguishing product gaps from configuration or training issues.
  • Own escalation of engineering issues for assigned accounts by triaging and documenting reproducible defects, tracking status with engineering, and closing the loop with customers.
  • Support site reliability for assigned accounts by monitoring service health with observability tools, participating in incident response, and driving reliability improvements with engineering.
  • Own the AI adoption strategy for Reporting Pro by defining requirements, expected customer impact, and success criteria, and feeding them back to Product and Engineering.
  • Configure, deploy, and support customer adoption of AI-enabled reporting workflows, including AI report drafting using priors and clinical data, as they are released; coordinate rollout, site readiness, and customer adoption with the Technical Delivery Manager and Product Manager.
  • Validate releases and hotfixes against representative customer configurations before and after deployment.
  • Complete assigned job responsibilities in a quality and timely manner, report to work as scheduled, maintain attendance and punctuality, and promote professional interactions with co-workers, visitors, and vendors.

Desired Qualifications

  • An imaging informatics or clinical credential such as CIIP, PARCA, or ARRT(R) is preferred.
  • Experience with AI-assisted or LLM-based report generation in radiology, and working knowledge of DICOM and PACS integration, is preferred.
  • Experience in a regulated medical device environment, including FDA 21 CFR 820, ISO 13485, or IEC 62304.

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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