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Ai Medical Imaging Internship Jobs (NOW HIRING)

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering ...

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How much do ai medical imaging internship jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai medical imaging internship in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an AI medical imaging internship?

An AI Medical Imaging Internship is a role where interns apply artificial intelligence techniques to analyze and enhance medical images, such as X-rays, MRIs, and CT scans. Interns typically work with machine learning models to assist in disease detection, image segmentation, and diagnostic automation. They collaborate with healthcare professionals and data scientists to improve medical imaging accuracy and efficiency. This internship provides hands-on experience in deep learning, data preprocessing, and working with medical imaging datasets. It is ideal for students or researchers with a background in AI, computer vision, or biomedical engineering who want to gain practical experience in medical AI applications.

What types of projects or tasks will I work on during an AI medical imaging internship?

As an AI Medical Imaging Intern, you may assist with developing and validating machine learning algorithms for tasks like image classification, segmentation, or anomaly detection in medical scans. Interns often help preprocess large imaging datasets, annotate or label images for training AI models, and run experiments to assess algorithm performance. You’ll likely collaborate closely with data scientists, radiologists, and software engineers, gaining insight into how AI is integrated into healthcare workflows. This hands-on experience provides a valuable opportunity to learn about the challenges of medical data, regulatory considerations, and the deployment of advanced technologies in real clinical settings.

What are the key skills and qualifications needed to thrive in the AI medical imaging internship position, and why are they important?

To thrive as an AI Medical Imaging Intern, you need a solid foundation in computer science, machine learning concepts, and a basic understanding of medical imaging techniques, often backed by ongoing or completed coursework in these areas. Familiarity with programming languages such as Python, experience using libraries like TensorFlow or PyTorch, and exposure to medical imaging platforms (e.g., DICOM viewers) are commonly required. Strong analytical skills, teamwork, and effective communication help you work collaboratively with clinicians, researchers, and fellow engineers. These skills allow you to contribute meaningfully to innovative healthcare solutions while ensuring accuracy and efficiency in this interdisciplinary environment.

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Ai Medical Imaging Internship jobs near you
Infographic showing various Ai Medical Imaging Internship 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 $52,867 per year, or $25.4 per hour.