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Image Processing Jobs in Houston, TX (NOW HIRING)

Familiarity with data acquisition, signal & image processing, electronics, ultrasonic probes, and instrumentation. * Knowledge of finite element methods for ultrasound or electromagnetism * Knowledge ...

Familiarity with data acquisition, signal & image processing, electronics, ultrasonic probes, and instrumentation. * Knowledge of finite element methods for ultrasound or electromagnetism * Knowledge ...

Completes image processing, PACS QA, including the documentation of logs, demographic and diagnostic information required for departmental, hospital and patient record documentation. * Completes all ...

Completes image processing, PACS QA, including the documentation of logs, demographic and diagnostic information required for departmental, hospital and patient record documentation. * Completes all ...

MRI Technologist

Houston, TX · On-site

$37.40 - $55.63/hr

Completes image processing, PACS QA, including the documentation of logs, demographic and diagnostic information required for departmental, hospital and patient record documentation. * Completes all ...

Showing results 21-40

Image Processing information

See Houston, TX salary details

$5

$59

$85

How much do image processing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for image processing in Houston, TX is $59.76, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $63.80 per hour, depending on experience, location, and employer.

What are the typical daily tasks of an image processing specialist?

An Image Processing specialist typically spends their day developing and optimizing algorithms for tasks such as image enhancement, feature extraction, segmentation, and object recognition. You may work closely with a multidisciplinary team that includes software engineers, data scientists, and domain experts to integrate your solutions into larger systems or products. Daily responsibilities often involve coding, testing, validating results, and documenting methodologies, as well as troubleshooting performance issues. Collaboration and frequent feedback sessions are common, as many projects are iterative and benefit from collective expertise. This role offers a dynamic and intellectually stimulating work environment with the potential for impactful innovation.

What is an image processing job?

An Image Processing job involves analyzing, enhancing, and manipulating digital images using algorithms and software. Professionals in this field work with techniques such as filtering, feature extraction, and pattern recognition to improve image quality or extract useful information. They often use programming languages like Python and libraries such as OpenCV or MATLAB to develop solutions for applications in medical imaging, computer vision, and automation.

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

To thrive in Image Processing, you need a solid background in computer vision, signal processing, mathematics, and often a relevant degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or MATLAB, experience with libraries like OpenCV, and familiarity with machine learning frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help set professionals apart. These competencies are crucial for developing, implementing, and refining algorithms that extract, analyze, and interpret information from visual data in various industries.

What are the most commonly searched types of Image Processing jobs in Houston, TX? The most popular types of Image Processing jobs in Houston, TX are:
What job categories do people searching Image Processing jobs in Houston, TX look for? The top searched job categories for Image Processing jobs in Houston, TX are:
What cities near Houston, TX are hiring for Image Processing jobs? Cities near Houston, TX with the most Image Processing job openings:
Infographic showing various Image Processing job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,309 per year, or $59.8 per hour.

Postdoc Fellow - Imaging Physics

MD Anderson Cancer Center

Houston, TX • On-site

$46K - $63K/yr

Full-time

Re-posted 19 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

24th of 887 rated healthcare providers


Job description

A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Chengyue Wu, PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially integrating computational/mathematical approaches with emerging biomedical imaging techniques to improve the diagnosis, prognosis, and treatment of human cancers. Dr. Wu has extensive experience on developing and validating image processing methods and image-guided models for investigating tumor growth and treatment response, tumor-associated vasculature and microenvironment, and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include:
Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially breast cancer) treatment response on a patient-specific basis.
Development of deep learning models, longitudinal image analysis, and multi-modality data integration to improve breast cancer early detection.
LEARNING OBJECTIVES
This postdoctoral fellow will engage in highly productive interdisciplinary research projects in image-guided precision oncology and personalized cancer healthcare. The fellow will expand their knowledge and skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with guidance from the mentor. The fellow will be expected to work closely with research/clinical collaborators, communicate findings via reports, abstracts, presentations, and publications, and actively participate in seminars, conferences, and related academic endeavors.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a Ph.D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.
ADDITIONAL APPLICATION INFORMATION
The trainee will be appointed for one year from the date of hire with an option to be renewed for up to three years.
POSITION INFORMATION
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. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
FACULTY MENTOR
Dr. Chengyue Wu

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