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Biomedical Image Processing Jobs in Texas (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

... 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 ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

... 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 ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

... 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 ...

Integrated Resources

CT Technologist

Tyler, TX

... to image processing and the image archiving system. * Expectation to participate in ongoing ... Troubleshoots and reports any equipment malfunctions to the Director/Manager and/or Biomedical ...

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Biomedical Image Processing information

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$36

How much do biomedical image processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for biomedical image processing in Texas is $26.58, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.00 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in biomedical image processing, and how can they be addressed?

Professionals in biomedical image processing often encounter challenges such as dealing with noisy or low-quality images, managing large datasets, and ensuring compliance with data privacy regulations. Addressing these issues typically involves using advanced image enhancement algorithms, collaborating with data scientists and clinicians to validate findings, and staying updated on data security best practices. Regular training and cross-functional team meetings can help in overcoming technical and regulatory hurdles, while contributing to a collaborative and innovative work environment.

What is biomedical image processing?

Biomedical image processing is the application of computational techniques to analyze and interpret images from biological and medical sources, such as MRI, CT scans, X-rays, and microscopic images. The goal is to enhance, segment, and extract meaningful information from these images to assist in medical diagnosis, research, and treatment planning. Professionals in this field use algorithms and software tools to improve image quality, detect abnormalities, and quantify biological structures, ultimately aiding healthcare professionals in making more accurate decisions.

What is the difference between Biomedical Image Processing vs Medical Imaging Technician?

AspectBiomedical Image ProcessingMedical Imaging Technician
Required CredentialsDegree in biomedical engineering, computer science, or related field; knowledge of imaging softwareCertification in radiologic technology; associate or bachelor's degree in radiography
Work EnvironmentResearch labs, hospitals, medical device companiesHospitals, clinics, diagnostic imaging centers
Industry UsageDevelops algorithms, enhances images, analyzes medical dataOperates imaging equipment, captures diagnostic images
Common Search/ComparisonFocuses on image processing and analysis techniquesFocuses on image acquisition and patient positioning

Biomedical Image Processing involves developing and applying algorithms to analyze and enhance medical images, often working in research or software development settings. In contrast, Medical Imaging Technicians operate imaging equipment to capture diagnostic images directly from patients. While both roles work within the medical imaging industry, their responsibilities, credentials, and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a Biomedical Image Processing Specialist, and why are they important?

To excel in Biomedical Image Processing, a solid background in biomedical engineering, computer science, or a related field, along with experience in image analysis and signal processing, is essential. Familiarity with programming languages (such as Python or MATLAB), image processing libraries (like OpenCV or ITK), and possibly certifications in medical imaging technologies are typically required. Attention to detail, problem-solving skills, and effective communication help professionals interpret complex data and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate diagnostic tools and advancing medical research through reliable image analysis.
Biomedical Image Processing jobs near you
Infographic showing various Biomedical Image Processing job openings in Texas as of May 2026, with employment types broken down into 1% Internship, 26% Full Time, 69% Part Time, 3% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $55,278 per year, or $26.6 per hour.
Computer Programmer II (Hybrid) Neurosurgery - Galveston

Computer Programmer II (Hybrid) Neurosurgery - Galveston

UTMB Health

Galveston, TX • On-site

$48K - $60K/yr

Full-time

Posted 15 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

293rd of 870 rated healthcare providers

Job description

Minimum Qualifications:
  • Associate's degree or equivalent in related field and one year related experience.

Preferred Qualifications
  • Bachelor's or Master's degree in Computer Engineering, Computer Science,Electrical Engineering, or related field.
  • Proficiency in Python required; strong experience in libraries such as NumPy,OpenCV, scikit-learn, TensorFlow, or PyTorch.
  • Experience interfacing with optical and electronic components (e.g., cameras,LEDs, filter wheels, motion stages, serial/USB communication).
  • Working knowledge of image processing and signal analysis.
  • Demonstrated ability to design, test, and document engineering systems in a collaborative environment.
  • Experience with real-time image acquisition and GPU acceleration (CUDA orOpenCL).
  • Familiarity with biomedical or scientific imaging systems.
  • Experience with machine learning or AI-driven image analysis.

Job Description:
To provide technical skills in the preparation and use of programs for the solution of problems by electronic computers. Join a multidisciplinary team developing next-generation optical imaging systems for neurosurgery. This position will focus on designing and optimizing software to control and integrate optical components (LEDs, cameras, filters, motion systems), while developing robust pipelines for real-time data acquisition, visualization, and analysis. A central objective is to leverage the data generated from these systems to build and train machine learning and AI algorithms for improved image-based detection and classification using advanced image processing techniques. The work directly supports translational technology development-taking innovations from bench to bedside to improve visualization and precision during brain tumor surgery.
Essential Duties
  • Develop and maintain Python-based control software for optical subsystems (LED drivers, cameras, filters, motorized stages, DAQs, etc.).
  • Design and implement real-time data acquisition and visualization pipelines for fluorescence, spectral, and photoacoustic imaging.
  • Build and evaluate machine learning models (e.g., classification, segmentation, regression) for improved detection and image analysis.
  • Collaborate with optical engineers, neuroscientists, and clinicians to integrate software with hardware systems and perform benchtop and intraoperative validation.
  • Translate research-grade prototypes into clinically deployable systems
  • Maintain organized documentation, version control (Git), and contribute to shared multi-site data workflows.
    Working Conditions Hybrid lab/office environment; occasional off-hours support for experiments or intraoperative imaging sessions

Salary Range:
Commensurate with experience $48,000-$60,000
Equal Employment Opportunity
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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