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RadNet

Outpatient radiology imaging centers with AI

Tech Assistant - Evenings

Clinical Support & Patient AdministrationConfirmed live in the last 24 hours
Full-timeRochester, NY, USAIn-person

About the Job

Requirements

  • A high school diploma is required.
  • One year of previous medical office experience and intermediate computer skills are required.
  • Basic Life Support (BLS) certification is required.

Responsibilities

  • Greet and register patients, collect copayments, verify patient information, and notify team members when patients arrive.
  • Communicate appointment delays promptly and offer rescheduling to support timely patient care.
  • Obtain insurance authorizations and patient information, collect signatures, and ensure required documentation is accurate and complete.
  • Schedule, reschedule, or cancel appointments for new and current patients, confirm appointments, and notify staff of changes.
  • Sterilize equipment and tools in each department before every patient examination.
  • Assist technologists with patients.
  • Safeguard patient property and protected health information.
  • Safeguard on-site medications in accordance with company policies, procedures, and legal requirements.
  • Respect company property, including cash and patient financial information on-site or in patient portals.
  • Maintain professional behavior toward patients and coworkers and respond to their needs.
  • 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.

Desired Qualifications

  • Knowledge of medical terminology.
  • Recent medical or radiology office work experience.

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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