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Entry Level 3D Medical Imaging Post Processing Jobs

Stanford

Radiologist Assistant 2 (100% on-site)

Stanford, CA · On-site

$376K - $470K/yr

Work closely with the physician on complex medical imaging procedures, 3D reformations, and post processing procedures. * Participate in the design, development, implementation and execution of ...

Stanford

Radiologist Assistant 2 (100% On-Site)

Stanford, CA · On-site

$376K - $470K/yr

Work closely with the physician on complex medical imaging procedures, 3D reformations, and post processing procedures. * Participate in the design, development, implementation and execution of ...

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Entry Level 3D Medical Imaging Post Processing information

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How much do entry level 3d medical imaging post processing jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level 3d medical imaging post processing in the United States is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.15 per hour, depending on experience, location, and employer.

What are the most commonly searched types of 3D Medical Imaging Post Processing jobs?

The most popular types of 3D Medical Imaging Post Processing jobs are:

Entry Level 3D Medical Imaging Post Processing jobs near you
Infographic showing various Entry Level 3D Medical Imaging Post Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $38,903 per year, or $18.7 per hour.

Postdoctoral researchers in AI in medical imaging

Case Western Reserve University

Cleveland, OH • On-site

$63K - $72K/yr

Other

Posted 24 days ago

Case Western Reserve University rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

103rd of 622 rated colleges and universities

Job description

Help us create the equivalent of the mammogram for cardiovascular disease! We are seeking multiple postdoctoral researchers to use image processing and state-of-the-art machine/deep learning to develop a comprehensive high-throughput CT screening exam for detecting and predicting cardiovascular diseases. Diseases include coronary artery disease, heart failure, aortic valve disease, aortic aneurysms, and more. Cardiovascular diseases are the number one cause of death in the US and the world. You would join Professor David Wilson, the Robert Herbold Professor of Biomedical Engineering and Radiology, with a team consisting of dedicated biomedical engineers, computer scientists, and research-oriented clinicians. We are building on the unique, no-cost CT calcium score imaging program at University Hospitals of Cleveland, which includes >250,000 patients imaged. Big data enables machine/deep learning experiments that would be impossible in many medical imaging applications. We need extremely robust segmentation, image translation between domains, foundation modeling, multimodal risk prediction, deep learning organ age prediction, advanced time-to-event modeling, causal data science, and more. Successful applicants will have an interest in biomedical imaging, quantitative image analysis, and machine/deep learning. Experience in 3D medical imaging is a plus but not absolutely required. To apply, please post a CV. The base salary range for this position will be $63,000 - $72,000, depending on qualifications. Be prepared for a reference request. 

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