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Medical Image Processing Jobs in Houston, TX (NOW HIRING)

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 ...

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 ...

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 ...

Senior AI/ML Engineer

Houston, TX · On-site

$99K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... image processing. * Should have experience in Python, Pandas specifically. * Do need some ... Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life ...

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Medical Image Processing information

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How much do medical image processing jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for medical image processing in Houston, TX is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $17.21 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in medical image processing?

A typical day in Medical Image Processing involves working with complex datasets from modalities like MRI, CT, or ultrasound, developing and testing algorithms to analyze or enhance images, and collaborating with clinicians to refine diagnostic tools. You may spend significant time coding, troubleshooting software, and interpreting medical images, as well as documenting your findings for clinical teams or research projects. Interaction with multidisciplinary teams—such as radiologists, researchers, and software engineers—is common, and the work is often project-driven with deadlines tied to clinical or research milestones. This dynamic environment offers continuous learning opportunities as technology and medical practices evolve.

What is medical image processing?

A Medical Image Processing job involves developing algorithms and software to analyze, enhance, and interpret medical images from modalities like MRI, CT, and X-ray. Professionals in this field work on tasks such as image segmentation, computer-aided diagnosis, and 3D reconstruction to support medical research and clinical decision-making. They often use machine learning, deep learning, and signal processing techniques to improve healthcare diagnostics and treatment outcomes.

What are the key skills and qualifications needed to thrive in medical image processing, and why are they important?

To excel in Medical Image Processing, you need a strong background in biomedical engineering, computer science, or a related field, with expertise in image analysis, signal processing, and machine learning. Familiarity with programming languages such as Python or MATLAB, experience with medical imaging software (like ITK, 3D Slicer, or OsiriX), and occasionally certification in relevant technologies are highly valuable. Attention to detail, strong problem-solving skills, and effective communication are important soft skills for working collaboratively with radiologists and clinicians. These abilities ensure accurate, efficient processing and interpretation of medical images, ultimately supporting better patient outcomes and advancements in healthcare.

What are the most commonly searched types of Medical Image Processing jobs in Houston, TX? The most popular types of Medical Image Processing jobs in Houston, TX are:
What are popular job titles related to Medical Image Processing jobs in Houston, TX? For Medical Image Processing jobs in Houston, TX, the most frequently searched job titles are:
Infographic showing various Medical Image Processing job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,005 per year, or $16.8 per hour.

Postdoctoral Fellow - Radiation Physics - Research

UT MD Anderson

Houston, TX • On-site

$46K - $63K/yr

Full-time

Re-posted 11 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.