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Biomedical Image Processing Jobs (NOW HIRING)

Samsung HME America Inc

Senior Physicist

Danvers, MA · On-site

Tune image processing algorithms to enhance image quality * Design suitable solutions to complex ... D. in Physics, Medical Physics, Biomedical Engineering, or similar discipline is required. * 5+ ...

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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.
Asst Prof Machine Learning

Asst Prof Machine Learning

University of Maryland, Baltimore

Baltimore, MD • On-site

$17 - $19.75/hr

Full-time

Re-posted 21 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
The Imaging Computing Laboratory at the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine is looking for a candidate to fill an Assistant Professor position in machine learning based medical image processing. This position is in the non-tenure track. The research focuses will include: deep learning-based MRI image reconstruction, deep learning based arterial spin labeling perfusion MRI processing, and resting state fMRI processing. Ideal candidates should have a PhD in computer science, biomedical engineering, or electrical engineering. Over three years of research experience in deep learning, MRI and medical image processing is preferred.
Candidates should submit a full CV, a cover letter, and names of three referees who can provide recommendation letters to
Qualifications
For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references to the following link:
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, 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 toward cultivating an inclusive environment that supports all employees.

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