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Temp Medical Image Processing Jobs in Texas (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/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 ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/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 ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/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 ...

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Temp Medical Image Processing information

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

To thrive as a Temp Medical Image Processing Specialist, you need a background in medical imaging, image analysis, and an understanding of anatomy, often supported by a degree in radiologic technology or a related field. Experience with imaging software such as PACS, DICOM viewers, and processing tools like MATLAB or Python is typically required. Attention to detail, analytical thinking, and effective communication are vital soft skills for accurately interpreting images and collaborating with medical teams. These skills ensure precise image processing, support accurate diagnoses, and contribute to the efficiency of healthcare services.

What are the typical responsibilities and challenges faced in a Temp Medical Image Processing role?

In a Temp Medical Image Processing position, you will primarily be responsible for preparing, analyzing, and enhancing medical images using specialized software to support clinical or research teams. Common challenges include quickly adapting to varying protocols, maintaining high accuracy while processing large volumes of images, and adhering to strict privacy and data security standards. You'll often collaborate closely with radiologists, technicians, and IT professionals to ensure timely and accurate delivery of processed images. This role provides a valuable opportunity to gain hands-on experience with advanced imaging technologies and can serve as a stepping stone to more permanent positions in medical imaging or healthcare IT.

What are Temp Medical Image Processing jobs?

Temp Medical Image Processing jobs involve working on a temporary basis to analyze, enhance, and interpret medical images such as X-rays, MRI scans, and CT scans using specialized software. These roles often support healthcare professionals by preparing images for diagnosis or research, ensuring image quality, and sometimes assisting with data management. Temporary positions are typically offered to help with increased workloads, special projects, or to cover staff absences. Candidates usually need a background in medical imaging, computer science, or related fields, and familiarity with medical imaging software. Temp Medical Image Processing jobs can be found in hospitals, research institutions, and medical imaging companies.

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

AspectTemp Medical Image ProcessingMedical Imaging Technician
CredentialsTypically requires certification in medical imaging software or related fieldsRequires ARRT certification or equivalent
Work EnvironmentOften temporary assignments in hospitals, clinics, or imaging centersFull-time or part-time roles in medical facilities
Employer & IndustryHospitals, imaging centers, medical contractorsHospitals, clinics, diagnostic labs
Job FocusProcessing and analyzing medical images using specialized softwareOperating imaging equipment and capturing images

Temp Medical Image Processing roles focus on handling and analyzing medical images through software, often on temporary assignments. Medical Imaging Technicians operate imaging equipment like MRI or CT scanners to produce diagnostic images. While both roles require knowledge of medical imaging, the technician role involves direct patient interaction and equipment operation, whereas temp image processing emphasizes software skills and temporary project-based work.

What are the most commonly searched types of Medical Image Processing jobs in Texas? The most popular types of Medical Image Processing jobs in Texas are:
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What job categories do people searching Temp Medical Image Processing jobs in Texas look for? The top searched job categories for Temp Medical Image Processing jobs in Texas are:
What cities in Texas are hiring for Temp Medical Image Processing jobs? Cities in Texas with the most Temp Medical Image Processing job openings:
Temp Medical Image Processing jobs near you
Postdoc Fellow - Imaging Physics

Postdoc Fellow - Imaging Physics

MD Anderson

Houston, TX

$46.80K - $63.50K/yr

Full-time

Posted 7 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

31st of 864 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


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Dr. Chengyue Wu

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