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RadNet

Outpatient radiology imaging centers with AI

Mammography Technologist Trainee

Diagnostics & Laboratory ProfessionalsUpdated on Nov 5
Full-timeBelleville, NJ, USAIn-person

About the Job

Requirements

  • A current state license in Diagnostic Radiologic Technology and ARRT (R) certification.
  • BLS certification issued through the American Heart Association.
  • A keen interest and ability to learn advanced radiology procedures such as tomosynthesis, biopsies, and related procedures.
  • The ability to take appropriate action during an emergent situation.
  • The ability to remain professional, exercise sound judgment, and prioritize work in a fast-paced environment.

Responsibilities

  • Complete a 40-hour initial Mammography Training Course Webinar, including 8 hours of digital mammography training; RadNet will reimburse the training.
  • Complete 8 hours of tomosynthesis training; RadNet will reimburse the training.
  • Receive hands-on mammography training in preparation for the ARRT mammography registry.
  • Pass the required Mammography Licensing Exam.
  • Become a full-time mammography technologist with RadNet once certified.
  • Participate in projects and/or meetings and complete other tasks assigned by management.
  • Safeguard onsite medications in accordance with company policies, procedures, and legal requirements.
  • Respect company property, including cash and patient financial information onsite or on patient portals.
  • Maintain professional behavior toward patients and coworkers.
  • Respect patient boundaries and cultural sensitivities during interactions.
  • Interact diplomatically and sympathetically with patients, their families, and the public in a clinical setting.
  • Establish, nurture, and maintain cooperative working relationships.

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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