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Medical Image Processing Jobs (NOW HIRING)

Gentuity LLC

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Requirements Interest in artificial intelligence, image processing, medical imaging devices, and neurovascular or cardiovascular diseases. Currently enrolled in a science, technology, medical ...

Globusmedical

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 ...

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How much do medical image processing jobs pay per hour?

As of Aug 10, 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 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 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 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.

More about Medical Image Processing jobs
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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 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,656 per year, or $17.6 per hour.

AI Annotator Intern

Gentuity LLC

Sudbury, MA • On-site

$15.75 - $21/hr

Internship

Re-posted 3 days ago

Job description

Job Type
Internship
Description
You will work with an experienced engineering team working on building AI algorithms for medical image analysis. The candidates will have an opportunity to contribute to several key AI projects and learn from domain experts during the process.
Project Scope
Gentuity is developing a novel diagnostic technology that is applicable to the treatment of cardiovascular diseases. This project will involve your participation in the development of datasets that artificial intelligence (AI) methods will use for the automated analysis of medical images.
Responsibilities
Participate in a key component of developing AI algorithms, that is, the creation and management of labeled data.
Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators.
Requirements
Interest in artificial intelligence, image processing, medical imaging devices, and neurovascular or cardiovascular diseases. Currently enrolled in a science, technology, medical, biology, computer or related program.
Candidates need to be able to provide their own transportation to and from the Gentuity's office located in Sudbury, MA.

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