Find & Apply For Radiologic Technician / Technologist Jobs In Washington, Florida
Radiologic Technician / Technologist jobs in Washington and Florida involve operating imaging equipment to assist in diagnosing medical conditions. Responsibilities include preparing patients for procedures, positioning equipment, and ensuring images are clear for interpretation. Technicians must follow protocols to ensure patient safety and accurate results. Below you can find different Radiologic Technician / Technologist positions in Washington, Florida.
Jobs in Washington
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Radiologic Technologist, PRN
Northwest Florida Community Hospital
Washington, FL
Radiologic Technologist, DAY SHIFT, Full Time
Northwest Florida Community Hospital
Washington, FL
Computed Tomography Technologist or Computed Tomography Tech in Florida
K&A Recruiting
Washington, FL
Latest Jobs in Washington
Salary Information & Job Trends In this Region
Radiologic Technicians / Technologists in Washington, Florida play a crucial role in the healthcare field by performing diagnostic imaging procedures to help physicians diagnose and treat patients. - Entry-level Radiologic Technician salaries range from $45,000 to $55,000 per year - Mid-career Radiologic Technologist salaries range from $55,000 to $70,000 per year - Senior-level Radiologic Specialist salaries range from $70,000 to $90,000 per year The history of Radiologic Technicians in Washington, Florida dates back to the early 20th century when X-ray technology was first introduced in medical settings, revolutionizing patient care and diagnosis. Throughout the years, Radiologic Technologists have evolved to incorporate advanced imaging modalities such as MRI, CT scans, and ultrasound, providing more detailed and accurate diagnostic information to healthcare providers. Current trends in Radiologic Technology in Washington, Florida include the integration of artificial intelligence and machine learning algorithms to enhance image interpretation, as well as a focus on patient-centered care and radiation safety protocols to ensure the well-being of both patients and healthcare professionals.
