ZipRecruiter

Log In

1

Internship Medical Image Processing Jobs (NOW HIRING)

PaxeraHealth

Sr. Image Processing Engineer

Newton Center, MA · Remote

$107K - $146.90K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing ...

Teledyne

Senior Image Processing Engineer

Goleta, CA · On-site

$113.60K - $151.40K/yr

... medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an ... The Video Signal Processing and Algorithms (VSP&A) team is seeking to hire a Senior Image ...

next page

Showing results 1-20

People also search for

All JobsMedical Image Processing JobsInternship Medical Image Processing Jobs

Internship Medical Image Processing information

See salary details

$5

$16

$25

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

As of May 31, 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 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.

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.

More about Internship Medical Image Processing jobs
What cities are hiring for Internship Medical Image Processing jobs? Cities with the most Internship Medical Image Processing job openings:
What are the most commonly searched types of Medical Image Processing jobs? The most popular types of Medical Image Processing jobs are:
What states have the most Internship Medical Image Processing jobs? States with the most job openings for Internship Medical Image Processing jobs include:
What job categories do people searching Internship Medical Image Processing jobs look for? The top searched job categories for Internship Medical Image Processing jobs are:
Internship Medical Image Processing jobs near you
Post-Doctoral Position - Medical Image Processing

Post-Doctoral Position - Medical Image Processing

University of Maryland, Baltimore

Baltimore, MD • On-site

$48.70K - $66.10K/yr

Full-time

Posted 5 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

211th of 530 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.

What University Of Maryland, Baltimore employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply