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Internship Medical Image Processing Jobs (NOW HIRING)

Gentuity

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 ...

DeepSight Technology

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

M.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 ...

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 · 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 ...

Globusmedical

Senior Software Engineer

Audubon, PA

$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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Internship Medical Image Processing information

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$5

$16

$25

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

As of Sep 4, 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 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 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 are the key skills and qualifications needed to thrive as an internship in 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 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.

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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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $34,624 per year, or $16.6 per hour.

Machine Learning Engineer

Intelliswift - An LTTS Company

Remote

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Machine Learning Engineer to work closely with AI and imaging scientists on various machine learning projects. The role involves collaborating with clients and data engineers to develop end-to-end machine learning and data pipelines.
Responsibilities:
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
Required:
• MS or PhD in a quantitative field (​e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Preferred:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with ​​development tools for experiment tracking, dataset versioning, and model management in machine learning.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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