1

Medical Image Processing Jobs (NOW HIRING)

Sr. Image Processing Engineer

Newton Center, MA · Remote

$107K - $146K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing ...

NET development, 3D visualization, image processing, and performance optimization experience. Responsibilities • Develop and enhance CT imaging visualization software and medical imaging ...

Senior Software Engineer

Audubon, PA · On-site

$123K - $162K/yr

Designs and develops medical image processing algorithms and integrates them into the back-end of our next generation of our medical software * Tests and fine tunes algorithms and integration within ...

next page

Showing results 1-20

Medical Image Processing information

See salary details

$14

$17

$20

How much do medical image processing jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for medical image processing in the United States is $17.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $18.03 per hour, depending on experience, location, and employer.

What medical imaging job pays the most?

In medical image processing, radiologists and nuclear medicine physicians tend to have the highest salaries due to their advanced training and clinical responsibilities. Specialized roles such as medical imaging directors or radiology managers also earn high compensation, often exceeding $300,000 annually, especially with experience and certification. Technical roles like imaging scientists or MRI physicists may also command high salaries depending on their expertise and industry sector.

What does a typical day look like for someone working in Medical Image Processing?

A typical day in Medical Image Processing involves working with complex datasets from modalities like MRI, CT, or ultrasound, developing and testing algorithms to analyze or enhance images, and collaborating with clinicians to refine diagnostic tools. You may spend significant time coding, troubleshooting software, and interpreting medical images, as well as documenting your findings for clinical teams or research projects. Interaction with multidisciplinary teams—such as radiologists, researchers, and software engineers—is common, and the work is often project-driven with deadlines tied to clinical or research milestones. This dynamic environment offers continuous learning opportunities as technology and medical practices evolve.

What kind of jobs can you get with a medical imaging degree?

A medical imaging degree can lead to roles such as radiologic technologist, MRI or CT technologist, medical image analyst, or imaging specialist. These jobs typically require knowledge of imaging equipment, patient care, and sometimes certification or licensing, and are often performed in hospitals, clinics, or diagnostic labs.

Is image processing a good career?

Medical image processing is a specialized field within healthcare technology that involves analyzing and enhancing medical images using software tools and algorithms. It offers opportunities in hospitals, research institutions, and medical device companies, often requiring knowledge of programming, imaging techniques, and certifications. The demand for skilled professionals in this area is growing due to advances in medical imaging and diagnostics.

What is a Medical Image Processing job?

A Medical Image Processing job involves developing algorithms and software to analyze, enhance, and interpret medical images from modalities like MRI, CT, and X-ray. Professionals in this field work on tasks such as image segmentation, computer-aided diagnosis, and 3D reconstruction to support medical research and clinical decision-making. They often use machine learning, deep learning, and signal processing techniques to improve healthcare diagnostics and treatment outcomes.

What is image processing in the medical field?

Medical image processing involves analyzing and enhancing images such as X-rays, MRIs, and CT scans to assist in diagnosis and treatment. Professionals in this field use specialized software and techniques like filtering, segmentation, and 3D reconstruction to improve image clarity and extract relevant information.

What are the key skills and qualifications needed to thrive in the Medical Image Processing position, and why are they important?

To excel in Medical Image Processing, you need a strong background in biomedical engineering, computer science, or a related field, with expertise in image analysis, signal processing, and machine learning. Familiarity with programming languages such as Python or MATLAB, experience with medical imaging software (like ITK, 3D Slicer, or OsiriX), and occasionally certification in relevant technologies are highly valuable. Attention to detail, strong problem-solving skills, and effective communication are important soft skills for working collaboratively with radiologists and clinicians. These abilities ensure accurate, efficient processing and interpretation of medical images, ultimately supporting better patient outcomes and advancements in healthcare.

More about Medical Image Processing jobs
What cities are hiring for Medical Image Processing jobs? Cities with the most Medical Image Processing job openings:
What are the most commonly searched types of Medical Image Processing jobs? The most popular types of Medical Image Processing jobs are:
What states have the most Medical Image Processing jobs? States with the most job openings for Medical Image Processing jobs include:
Infographic showing various Medical Image Processing job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $36,656 per year, or $17.6 per hour.
Post-Doctoral Position - Medical Image Processing

Post-Doctoral Position - Medical Image Processing

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 5 days ago


Key responsibilities

  • Develop algorithms for classification or object detection of hemorrhage-related pathologies using CT imaging data.

  • Train and validate segmentation models for multiscale tasks targeting organ lacerations, pooled hemorrhage, and active bleeding.

  • Develop web-based interactive user interfaces for medical image processing tools.


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

224th of 544 rated colleges and universities


Job description

Job Description
Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT)
The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with strong translational potential for rapid detection/triage, injury grading, and quantitative visualization of hemorrhage burden. We are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who have experience with MICCAI or RSNA CT challenge datasets such as RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited for the position. The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center and beyond, and there is ample opportunity to present, publish, and kickstart a fruitful career in academia or industry in the area of medical image processing. The work will be conducted through an NIH-funded study on these topics:
1) R&D for CT-based tools using CNN or ViT backbones for classification or object detection of hemorrhage-related pathologies including cavitary hemorrhage, solid organ injury, and bleeding pelvic fractures using a very large in-house CT dataset with high-quality labeling and outcome data.
2) Training and validation of state-of-the-art segmentation models for multiscale tasks, with targets including organ lacerations, cavitary pooled hemorrhage, and active bleeding.
3) One additional position focuses on evaluating user acceptance of tools by working with radiology and trauma surgery experts in the field. For this position, we are looking specifically for candidates with experience developing web-based interactive user interfaces for the above tools.
Qualifications
The University of Maryland offers highly competitive salaries with excellent benefits. To apply for this position, please send your curriculum vitae, a cover letter describing your interest, background, and qualifications, and a list of three references (including contact information) to Dr. David Dreizin at ddreizin@som.umaryland.edu
The position is subject to a background check. Applications from women, minorities, and persons with disabilities are strongly encouraged. Applications will be accepted until the position is filled. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment program
Baltimore Inner Harbor, Maryland The University of Maryland is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports all employees.

What University Of Maryland, Baltimore employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom