Find & Apply For Radiologic Technician / Technologist Jobs In Davie, North Carolina
Radiologic Technician / Technologist jobs in Davie, North Carolina involve performing diagnostic imaging examinations on patients using X-ray, MRI, CT scans, or other medical imaging equipment. Technicians ensure clear images, maintain patient records, and follow safety protocols. These positions require a degree in radiologic technology and certification. Below you can find different Radiologic Technician / Technologist positions in Davie, North Carolina.
Jobs in Davie
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.
Latest Jobs in Davie
Salary Information & Job Trends In this Region
Radiologic Technicians/Technologists in Davie, North Carolina, play a crucial role in the healthcare field by performing diagnostic imaging procedures to assist in patient diagnosis and treatment. - 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/Technologists in Davie, North Carolina, can be traced back to the early 20th century when X-ray technology was first introduced in medical practice. Since then, advancements in imaging technology have revolutionized the field, allowing for more precise and detailed diagnostic imaging. The evolution of Radiologic Technicians/Technologists in Davie, North Carolina, has been marked by continuous training and education to keep up with technological advancements. With the introduction of digital imaging and other innovative technologies, Radiologic Technicians/Technologists have been able to provide more accurate and efficient diagnostic services to patients. Current trends in Radiologic Technician/Technologist practice in Davie, North Carolina, include the integration of artificial intelligence and machine learning in diagnostic imaging interpretation, as well as the adoption of 3D imaging techniques for more comprehensive patient evaluations. Additionally, there is a growing emphasis on radiation safety and dose reduction measures to ensure patient and staff well-being.