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Medical Image Processing Engineer Jobs in Texas (NOW HIRING)

Seno Medical

Principal Electrical Engineer

San Antonio, TX · On-site

$125K - $153K/yr

... processes, e.g. medical, aerospace, or automotive. (Medical device preferred). A minimum of 10 ... image processing (e.g. GPU, FPGA). • Design for Manufacturing. A Master's of Science degree in ...

Seno Medical

Principal Electrical Engineer

San Antonio, TX · On-site

$125K - $153K/yr

... processes, e.g. medical, aerospace, or automotive. (Medical device preferred). A minimum of 10 ... image processing (e.g. GPU, FPGA). Design for Manufacturing. A Master's of Science degree in ...

Raytheon

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory, or ... Hired applicants may be eligible for benefits, including but not limited to, medical, dental ...

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Medical Image Processing Engineer information

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

As of Jun 17, 2026, the average hourly pay for medical image processing engineer in Texas is $58.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $62.26 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Medical Image Processing Engineer, and why are they important?

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 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 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 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 June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $121,274 per year, or $58.3 per hour.
Postdoctoral Fellow - Radiation Physics - Research

Postdoctoral Fellow - Radiation Physics - Research

MD Anderson

Houston, TX

$64K - $76K/yr

Other

Medical, Dental, Retirement, PTO

Posted 17 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

34th of 872 rated healthcare providers

Job description

A postdoctoral fellow position is available in the Department of Radiation Physics under the mentorship of Tucker Netherton, DMP, PhD. This fellowship focuses on advancing AI and machine learning applications in radiation oncology and radiology. The candidate will work within the Radiation Planning Assistant (RPA) initiative, a global health project dedicated to developing automated contouring and treatment planning tools for cancer care.

The role involves collaborating with multidisciplinary teams to design, implement, and validate deep learning models for medical image segmentation, treatment planning, and quality assurance. In addition, the fellow will participate in NIH-funded projects and international collaborations aimed at improving patient care through innovative computational solutions. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES Gain expertise in developing and validating machine learning and deep learning models for medical imaging and radiation therapy workflows. - Develop skills in high-performance computing, and software development - Develop proficiency in interdisciplinary collaboration, scientific communication, and dissemination of research through publications and conferences. - Understand ethical considerations and regulatory requirements for AI in medicine, including global health equity implications.

ELIGIBILITY REQUIREMENTS - Ph.D. in Medical Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or related field. - At least 2 peer reviewed primary author publications in the last two years

- Mandatory expert level programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow, JAX). - Familiarity with medical image analysis and radiotherapy workflows. - Excellent oral and written communication skills (English language); ability to work collaboratively in a diverse, international team.

POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law

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