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Biomedical Image Processing Jobs (NOW HIRING)

GE HealthCare

Image Quality Engineer

Salt Lake City, UT · On-site

$69K - $89K/yr

MS in Physics, Biomedical Engineering, Electrical Engineering, or other closely related fields * Broad exposure to medical imaging physics * Ability to design and develop image processing algorithms

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Gehc

Image Quality Engineer

Salt Lake City, UT

$69K - $90K/yr

MS in Physics, Biomedical Engineering, Electrical Engineering, or other closely related fields * Broad exposure to medical imaging physics * Ability to design and develop image processing algorithms

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Biomedical Image Processing information

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How much do biomedical image processing jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for biomedical image processing in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in biomedical image processing, and how can they be addressed?

Professionals in biomedical image processing often encounter challenges such as dealing with noisy or low-quality images, managing large datasets, and ensuring compliance with data privacy regulations. Addressing these issues typically involves using advanced image enhancement algorithms, collaborating with data scientists and clinicians to validate findings, and staying updated on data security best practices. Regular training and cross-functional team meetings can help in overcoming technical and regulatory hurdles, while contributing to a collaborative and innovative work environment.

What jobs pay 500,000 a year in the US?

In the field of biomedical image processing, high-paying roles such as senior research scientists, lead engineers, or chief technology officers can reach or exceed $500,000 annually, especially in large biotech or pharmaceutical companies. These positions typically require advanced degrees, extensive experience, and expertise in machine learning, imaging algorithms, and software development. Compensation at this level often includes bonuses, stock options, or profit sharing.

What is biomedical image processing?

Biomedical image processing is the application of computational techniques to analyze and interpret images from biological and medical sources, such as MRI, CT scans, X-rays, and microscopic images. The goal is to enhance, segment, and extract meaningful information from these images to assist in medical diagnosis, research, and treatment planning. Professionals in this field use algorithms and software tools to improve image quality, detect abnormalities, and quantify biological structures, ultimately aiding healthcare professionals in making more accurate decisions.

What medical imaging job pays the most?

In biomedical image processing, senior roles such as imaging research scientists or lead biomedical engineers tend to have the highest salaries, often exceeding $100,000 annually. These positions typically require advanced skills in image analysis, programming, and experience with medical imaging tools like MRI or CT scanners.

Is ML a high paying job?

Machine learning (ML) roles, including those in biomedical image processing, are generally well-paid due to the high demand for specialized skills in data analysis, programming, and algorithms. Salaries vary based on experience, education, and location, but professionals with expertise in ML and related tools like Python or TensorFlow often earn above average industry wages.

What is the difference between Biomedical Image Processing vs Medical Imaging Technician?

AspectBiomedical Image ProcessingMedical Imaging Technician
Required CredentialsDegree in biomedical engineering, computer science, or related field; knowledge of imaging softwareCertification in radiologic technology; associate or bachelor's degree in radiography
Work EnvironmentResearch labs, hospitals, medical device companiesHospitals, clinics, diagnostic imaging centers
Industry UsageDevelops algorithms, enhances images, analyzes medical dataOperates imaging equipment, captures diagnostic images
Common Search/ComparisonFocuses on image processing and analysis techniquesFocuses on image acquisition and patient positioning

Biomedical Image Processing involves developing and applying algorithms to analyze and enhance medical images, often working in research or software development settings. In contrast, Medical Imaging Technicians operate imaging equipment to capture diagnostic images directly from patients. While both roles work within the medical imaging industry, their responsibilities, credentials, and work environments differ significantly.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior video directors, media executives, or specialized digital content managers can earn $150,000 or more annually. These positions often require extensive experience, advanced skills in editing, production, or digital platforms, and may involve leadership responsibilities or working in large organizations.

What are the key skills and qualifications needed to thrive as a Biomedical Image Processing Specialist, and why are they important?

To excel in Biomedical Image Processing, a solid background in biomedical engineering, computer science, or a related field, along with experience in image analysis and signal processing, is essential. Familiarity with programming languages (such as Python or MATLAB), image processing libraries (like OpenCV or ITK), and possibly certifications in medical imaging technologies are typically required. Attention to detail, problem-solving skills, and effective communication help professionals interpret complex data and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate diagnostic tools and advancing medical research through reliable image analysis.
What cities are hiring for Biomedical Image Processing jobs? Cities with the most Biomedical Image Processing job openings:
What states have the most Biomedical Image Processing jobs? States with the most job openings for Biomedical Image Processing jobs include:
Biomedical Image Processing jobs near you
Infographic showing various Biomedical Image Processing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,333 per year, or $28.5 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

Re-posted 26 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

228th of 555 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.

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