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RadNet

Outpatient radiology imaging centers with AI

Mammography Technologist

Diagnostics & Laboratory ProfessionalsPosted on Nov 6
Full-timeRancho Cucamonga, CA, USAIn-person

About the Job

Requirements

  • ARRT(R)(M) certification is required.
  • A state license in Diagnostic Radiologic Technology is required.
  • BLS certification is required.
  • Candidates must be able to produce diagnostic images and use mammographic equipment controls and adjustments, including compression, exposure modes, filters, kVp, mAs, grid selection, focal spot size, AEC selection, and photo-cell selection.
  • Candidates must monitor patients during examinations, recognize discomfort or medical problems, and take appropriate action.
  • Candidates must safeguard patient property, patient health information, medications, company property, cash, and patient financial information.
  • Candidates must demonstrate professional communication and interpersonal skills with patients, guests, and colleagues; prioritize work in a fast-paced environment; and solve complex problems.

Responsibilities

  • Operate mammographic and other equipment in accordance with established company policies and protocols.
  • Produce high-quality diagnostic images in a timely manner while providing patient care.
  • Guide patients through examination procedures by explaining the steps and answering questions and concerns.
  • Respond to physician questions and needs regarding patients.
  • Maintain professional, respectful, diplomatic, and culturally sensitive interactions with patients, families, the public, and coworkers.
  • Establish, nurture, and maintain cooperative working relationships.

Desired Qualifications

  • At least one year of diagnostic imaging experience is preferred.

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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