Postdoctoral Fellow - Radiation Physics - The Late-effects research
- Employer
- University of Texas MD Anderson Cancer Center
- Location
- Houston, Texas
- Salary
- Competitive
- Closing date
- Aug 28, 2023
View more
- Discipline
- Health Sciences
- Organization Type
- Healthcare/Hospital
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Job Details
The Late-effects research lab in the Department of Radiation Physics at UT MD Anderson Cancer Center is seeking a postdoctoral fellow to study radiation-therapy-related late-cardiovascular disease. The fellow will help develop and integrate risk prediction models into the treatment planning system for analyzing clinical treatments and predicting potential adverse cardiovascular outcomes.
LEARNING OBJECTIVES
The postdoctoral fellow will contribute to NCI R01-funded research on personalized risk prediction to reduce cardiovascular disease in childhood cancer. This may include (but is not limited to)
*Writing Python scripts in commercial treatment planning software (TPS) to execute risk prediction models
*Calculating risk for survivors and exporting data from TPS to survivorship care plans
*Performing image processing, dosimetric analyses, toxicity assessment, clinical data review, and risk assessment.
*Train and supervise other research personnel (including students)
*Develop skills in study design, data analysis, and interpretation
*Assist in the writing of scientific papers for publication, grant applications, and presentations at scientific meetings
ELIGIBILITY REQUIREMENTS
The ideal candidate must have finished (or be about to complete) Ph.D in Medical Physics from a CAMPEP accredited program. Successful applicants must be highly motivated, independent, and have experience with computer programming (Python and Matlab). Experience with treatment planning systems, preferably RayStation, is required. A minimum of three years of research experience in radiotherapy-related late effects in childhood cancer survivors is also required (demonstrated with relevant publications and presentations). The individual will work within a large group of motivated interdisciplinary professionals.
LEARNING OBJECTIVES
The postdoctoral fellow will contribute to NCI R01-funded research on personalized risk prediction to reduce cardiovascular disease in childhood cancer. This may include (but is not limited to)
*Writing Python scripts in commercial treatment planning software (TPS) to execute risk prediction models
*Calculating risk for survivors and exporting data from TPS to survivorship care plans
*Performing image processing, dosimetric analyses, toxicity assessment, clinical data review, and risk assessment.
*Train and supervise other research personnel (including students)
*Develop skills in study design, data analysis, and interpretation
*Assist in the writing of scientific papers for publication, grant applications, and presentations at scientific meetings
ELIGIBILITY REQUIREMENTS
The ideal candidate must have finished (or be about to complete) Ph.D in Medical Physics from a CAMPEP accredited program. Successful applicants must be highly motivated, independent, and have experience with computer programming (Python and Matlab). Experience with treatment planning systems, preferably RayStation, is required. A minimum of three years of research experience in radiotherapy-related late effects in childhood cancer survivors is also required (demonstrated with relevant publications and presentations). The individual will work within a large group of motivated interdisciplinary professionals.
Company
The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.
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