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RadNet

Outpatient radiology imaging centers with AI

Interface Analyst

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeOwings Mills, MD, USAIn-person

About the Job

Requirements

  • Intermediate to advanced understanding of Microsoft Word, Microsoft Access, Microsoft Outlook, and Microsoft Excel.
  • Prior knowledge or experience with HL7, interoperability principles, electronic medical record systems, Mirth, virtual private networks, Secure File Transfer Protocol, XML, FHIR, Direct Messaging, application programming interfaces, and other connectivity solutions.
  • Ability to communicate effectively through verbal and written communication.
  • Organizational skills.
  • Leadership skills in interactions with peers in senior management.
  • A four-year degree or equivalent experience.

Responsibilities

  • Work with end users, marketing teams, network teams, and vendor partners to develop system interfaces.
  • Monitor and maintain interfaces using the Radiology Information System and Mirth Interface Engine.
  • Participate in implementation requests, issue resolution, and application programming.
  • Troubleshoot and resolve integration issues.
  • Design, architect, and develop application interfaces using HL7 standards or vendor-provided formats to pass ADT, orders, results, charges, and DICOM images.
  • Create and document requirements, functional specifications, technical specifications, and configurations related to application integrations.
  • Perform integration testing of interfaces to ensure quality and reliability.
  • Assist with process and workflow design to support automation in existing systems.
  • Adhere to development standards that support interface maintainability.

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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