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Medical Image Processing Jobs (NOW HIRING)

PaxeraHealth

Sr. Image Processing Engineer

Newton, 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 ...

KBR

Image Processing Engineer

Sioux Falls, SD

Image Processing Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We ... with company match, medical, dental, vision, life insurance, AD&D, flexible spending account ...

Apple

Camera Image Processing Engineer

Cupertino, CA · On-site

$150K - $277K/yr

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Quantum Space

Image Processing Engineer III

Rockville, MD · On-site

$140K - $185K/yr

Who We're Looking For We are seeking an Image Processing Engineer III who will be responsible for ... Compensation - Competitive salary, equity, and comprehensive benefits including medical, dental ...

Kla

Algorithm Engineer (Image Processing)

Ann Arbor, MI · Hybrid

$105K - $180K/yr

Having a strong understanding of innovative research in Conventional image processing algorithms ... medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching ...

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How much do medical image processing jobs pay per hour?

As of Aug 31, 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 is medical image processing?

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 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 are the key skills and qualifications needed to thrive in medical image processing, 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.

How to get a career in medical image processing?

To pursue a career in medical image processing, candidates typically need a bachelor's degree in fields like biomedical engineering, computer science, or medical imaging, with advanced roles often requiring a master's or Ph.D. Additionally, skills in programming, image analysis software, and understanding of medical imaging modalities such as MRI or CT are important; certifications in medical imaging or related areas can also enhance job prospects.

Is medical image processing a good career path?

Medical image processing is a specialized field within healthcare technology that involves developing algorithms and software to analyze medical images such as MRI, CT, and X-rays. It offers strong job growth, high demand for technical skills like programming and machine learning, and opportunities in hospitals, research institutions, and medical device companies. Certification and knowledge of imaging standards can enhance career prospects.
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Medical Image Processing jobs near you
Infographic showing various Medical Image 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 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $36,656 per year, or $17.6 per hour.

Post-Doctoral Position - Medical Image Processing

Baltimore, MD • On-site

University of Maryland, Baltimore
Colleges, Universities, and Professional Schools • 1 - 5K employees

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

262nd of 627 rated colleges and universities

People enjoy working here

Good employer

Respectful managers

Learn more about University of Maryland, Baltimoreexternal

$48K - $66K/yr

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.

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.Weare currently recruiting motivated Postdoctoral Fellowswitha 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 forclassification or objectdetection of hemorrhage-related pathologiesincluding 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 modelsfor multiscale tasks, with targets including organ lacerations, cavitary pooled hemorrhage, and active bleeding. 3) One additional position focuses onevaluating 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 experiencedeveloping web-based interactive user interfaces*for the above tools. 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 buildingadiverse community in its training and employmentprograms 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 anyothercharacteristic protected by law or policy./Wevalue diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports allemployees./* Job: *Postdoctoral Fellows Organization: *School of Medicine - Clinical Departments Title: Post-Doctoral Position - Medical Image Processing Location: null Requisition ID: 240000Y9

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