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Internship Medical Image Processing Jobs (NOW HIRING)

Globus Medical

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 ...

Gentuity

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

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

DeepSight Technology

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

S. in Electrical/Biomedical Engineering • 7+ years industry experience in medical imaging product development • Expertise in ultrasound physics and system design, signal and image processing ...

Gentuity

AI Annotator Intern

Sudbury, MA

$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 ...

DeepSight Technology

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

S. in Electrical/Biomedical Engineering • 7+ years industry experience in medical imaging product development • Expertise in ultrasound physics and system design, signal and image processing ...

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Internship Medical Image Processing information

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How much do internship medical image processing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship medical image processing in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Medical Image Processing, and why are they important?

To thrive as an Internship Medical Image Processing, you need a strong foundation in biomedical engineering, computer science, or a related field, along with knowledge of image analysis concepts. Familiarity with programming languages such as Python or MATLAB, and experience with image processing libraries (e.g., OpenCV, ITK) or machine learning frameworks are typically required. Strong analytical thinking, attention to detail, and the ability to communicate technical findings clearly are important soft skills. These abilities enable interns to effectively process and interpret medical images, contributing to advancements in diagnostics and patient care.

What types of projects or tasks can I expect to work on during a Medical Image Processing internship?

As a Medical Image Processing intern, you'll typically work on projects involving the analysis, enhancement, and interpretation of medical images such as MRI, CT, or ultrasound scans. Common tasks include developing or testing image processing algorithms, annotating datasets, and using software tools like MATLAB or Python for data analysis. You may also collaborate with research teams, radiologists, or software engineers to support ongoing studies or product development. This hands-on experience helps you build practical skills and gain exposure to cutting-edge medical technology.

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

AspectInternship Medical Image ProcessingMedical Imaging Technician
CredentialsTypically pursuing or recent graduate in medical imaging, biomedical engineering, or related fieldsCertification or associate degree in radiologic technology or related field
Work EnvironmentResearch labs, hospitals, or academic settings; focus on data analysis and software developmentHospitals, clinics; operating imaging equipment and capturing images
Job FocusDeveloping algorithms, processing medical images, research projectsPerforming imaging procedures, maintaining equipment, ensuring image quality

Internship Medical Image Processing roles focus on developing and analyzing medical images through software, often in research or academic settings. Medical Imaging Technicians operate imaging equipment directly with patients, focusing on capturing diagnostic images. Both roles require knowledge of medical imaging but differ in responsibilities, environment, and career stage.

What is an Internship in Medical Image Processing?

An Internship in Medical Image Processing is a temporary position, often for students or recent graduates, that provides hands-on experience working with medical imaging data and related technologies. Interns typically assist with tasks such as analyzing medical images, developing or testing image processing algorithms, and supporting research projects in clinical or academic settings. This role offers the opportunity to learn about advanced imaging modalities (like MRI, CT, or X-ray), gain programming experience, and contribute to improving healthcare diagnostics. Internships may also include mentorship from experienced professionals and exposure to the latest software tools in the field.
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Internship Medical Image Processing jobs near you
Infographic showing various Internship Medical Image Processing job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $34,624 per year, or $16.6 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 14 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

226th of 553 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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