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Internship Medical Image Processing Jobs in Texas

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Dr. Wu has extensive experience on developing and validating image processing methods and image ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Dr. Wu has extensive experience on developing and validating image processing methods and image ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

Dr. Wu has extensive experience on developing and validating image processing methods and image ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

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Internship Medical Image Processing information

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.

What are the most commonly searched types of Medical Image Processing jobs in Texas?

The most popular types of Medical Image Processing jobs in Texas are:

What are popular job titles related to Internship Medical Image Processing jobs in Texas?

For Internship Medical Image Processing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Medical Image Processing jobs in Texas look for?

The top searched job categories for Internship Medical Image Processing jobs in Texas are:

What cities in Texas are hiring for Internship Medical Image Processing jobs?

Cities in Texas with the most Internship Medical Image Processing job openings:

Internship Medical Image Processing jobs near you

Postdoctoral Fellow - Radiation Physics - Research

UT MD Anderson

Houston, TX • On-site

$46K - $63K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
The University of Texas MD Anderson Cancer Center is one of the world's premier comprehensive cancer centers, internationally recognized for research and training. The postdoctoral fellow will work in a collaborative team focusing on Medical Physics, Imaging Analysis, and Artificial Intelligence, contributing to projects that advance radiotherapy through AI-driven methods and automated QA/QC methodologies.
Responsibilities:
• Designing and translating AI-driven methods for medical image registration, synthetic imaging, segmentation, and treatment planning to advance radiotherapy.
• Investigating breakthrough AI technologies (e.g., LLMs, generative AI) to evaluate their potential in reducing clinician burden and improving patient safety across radiation-oncology workflows.
• Developing automated QA/QC methodologies for the safe implementation and monitoring of AI systems in radiation therapy.
• Creating decision-support systems for online adaptive radiotherapy (oART) on MR-linacs and CT/CBCT-linacs.
• Contribute to other high-impact clinical projects, such as Spatially Fractionated Radiotherapy (SFRT), Stereotactic Body Radiation Therapy (SBRT), Intraoperative Radiation Therapy (IORT), and Brachytherapy.
Qualifications:
Required:
• Candidates must hold a recent Ph.D. in physics, electrical engineering, biomedical engineering, computer science, applied mathematics, or a related discipline.
• Strong programming skills are essential.
• The candidate should demonstrate excellent written and verbal communication skills.
Preferred:
• Prior experience with programming (MATLAB, Python, C/C++) and image processing is preferred.
• Familiarity with machine/deep learning and high-performance computing is a plus but not required.
Company:
The University of Texas MD Anderson Cancer Center is one of the world’s most respected centers devoted exclusively to cancer patient care, research, education and prevention. Founded in 1994, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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