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Medical Image Processing Engineer Jobs in Texas (NOW HIRING)

Neuralink

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/yr

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize ... Excellent medical, dental, and vision insurance through a PPO plan * Paid holidays * Commuter ...

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 ... engineering, or related fields or a medical degree. Experience with machine learning and deep ...

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 ... engineering, or related fields or a medical degree. Experience with machine learning and deep ...

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 ... engineering, or related fields or a medical degree. Experience with machine learning and deep ...

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Medical Image Processing Engineer information

What does a medical image processing engineer do?

A Medical Image Processing Engineer develops and implements algorithms and software for analyzing medical images such as X-rays, MRIs, CT scans, and ultrasounds. Their work helps improve image quality, automate diagnosis, and assist healthcare professionals in interpreting medical data. They collaborate with radiologists, biomedical engineers, and software developers to create tools that enhance patient care and medical research. This role requires expertise in image processing, machine learning, and knowledge of medical imaging technologies.

What are the key skills and qualifications needed to thrive as a medical image processing engineer?

A Medical Image Processing Engineer should have a solid background in computer science, biomedical engineering, or a related field, with expertise in image analysis, machine learning, and signal processing. Familiarity with programming languages such as Python or C++, and experience with medical imaging software (e.g., MATLAB, ITK, or 3D Slicer), as well as relevant certifications, are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and translating clinical needs into technical solutions. These competencies are essential for developing accurate, efficient imaging solutions that support diagnosis, treatment, and research in healthcare.

What are some common challenges faced by medical image processing engineers when working with diverse imaging modalities?

Medical Image Processing Engineers often need to adapt algorithms and workflows to handle differences in data quality, resolution, and artifacts across modalities such as MRI, CT, and ultrasound. Managing large datasets and ensuring interoperability between imaging systems can also present technical hurdles. Additionally, maintaining compliance with healthcare regulations and ensuring patient data privacy adds complexity to their daily tasks. Collaboration with clinicians and radiologists is vital to accurately interpret results and validate software tools in real clinical settings.

What is the difference between Medical Image Processing Engineer vs Medical Software Developer?

AspectMedical Image Processing EngineerMedical Software Developer
Required CredentialsBachelor's or Master's in Biomedical Engineering, Computer Science, or related fields; knowledge of image processing and medical imaging standardsBachelor's or Master's in Software Engineering, Computer Science; programming skills; understanding of medical software regulations
Work EnvironmentHospitals, research labs, medical device companies, R&D departmentsHealthcare IT firms, medical device companies, hospitals, software development firms
Employer & Industry UsageDevelops algorithms for medical images like MRI, CT; focuses on image enhancement, segmentationCreates medical applications, electronic health records, clinical software solutions

The Medical Image Processing Engineer specializes in developing algorithms and software for analyzing and enhancing medical images, often working with imaging modalities like MRI and CT. In contrast, the Medical Software Developer designs broader healthcare applications, including electronic health records and clinical management systems. Both roles require programming skills and familiarity with medical standards but focus on different aspects of medical technology.

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

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

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

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

Medical Image Processing Engineer jobs near you
Infographic showing various Medical Image Processing Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 6% Contract, and 1% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Postdoctoral Fellow - Radiation Physics - Research

Houston, TX • On-site

UT MD Anderson
See more jobs at UT MD Andersonexternal

$46K - $63K/yr

Full-time

Re-posted 23 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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