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Biomedical Image Processing Jobs (NOW HIRING)

Novel Microdevices

Senior Biomedical Engineer

Baltimore, MD · On-site

$100K - $140K/yr

... time image processing, and cloud-integrated data solutions to empower healthcare professionals ... Background in biomedical, systems, or electrical/mechanical engineering which translates into cross ...

Lancesoft

Scientist II

Ridgefield, CT · On-site

$38 - $40.31/hr

Develop and optimize image analysis pipelines for 2D and 3D biomedical images. Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data. Apply classical image processing and ...

Apple

AI/ML Computer Vision Algorithm Engineer

Cupertino, CA · On-site

$137K - $162K/yr

Applied Mathematics, Physics or Biomedical Engineering) and a minimum of 3 years relevant industry experience Knowledge of image processing, computer vision and machine learningProgramming skills in ...

Aequor

... image analysis pipelines for 2D and 3D biomedical images. • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data. • Apply classical image processing and machine ...

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Biomedical Image Processing information

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$15

$28

$38

How much do biomedical image processing jobs pay per hour?

As of Jun 9, 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 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 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 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 May 2026, with employment types broken down into 1% Internship, 15% Full Time, 81% Part Time, and 3% Temporary. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.

Post-doctoral Associate

Duke University Center for In Vivo Microscopy, Radiology

Durham, NC • On-site

$47K - $64K/yr

Full-time

Posted 2 days ago

Job description

Company Description
Job Description
The candidate for this
position will be a highly motivated individual with a track record of
academic achievements and a Ph.D. degree (or will be in the process of
completing a Ph.D. program) in computer science, electrical engineering,
biomedical engineering, biomedical informatics, biostatistics or a
related discipline.
Required qualifications include (1) expertise and
experience in machine learning or image processing/computer vision, (2)
proficiency in computer programming, (3) good verbal and written
communication skills, (4) one or more first-author journal papers
published or accepted for publication in a good international journal.
Preferred
(but not required) qualifications include: (1) experience with analysis
of medical images, (2) experience with deep learning, (3) experience
with collaborative filtering algorithms, (4) proficiency in statistical
analysis, (5) experience with reader studies and eye-tracking.
Full announcement can be found at http://deckard.duhs.duke.edu/~mazurowski/positions/postdoc.html
Qualifications
PhD
Additional Information
All your information will be kept confidential according to EEO guidelines.

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