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Position TitlePostdoctoral Fellow
The University of Texas MD Anderson Cancer Center is ranked number one in cancer care by U.S. News and World Report’s annual “Best Hospitals” survey.
The postdoctoral fellow will work under the supervision of Drs. Xuelin Huang and Peng Wei and may collaborate with other faculty in biostatistics, bioinformatics, basic science, or clinical departments at the University of Texas MD Anderson Cancer Center. The primary research focus will be developing and applying novel statistical and machine learning methods for integrative analysis of multimodality clinical imaging data (including multiple sequences of MRI, PET-CT, ultrasound, mammogram, and/or pathology images) and genomics data (for example, mutation and gene expression profiling), as well as longitudinal clinical data, to predict treatment response and prognosis. The fellow will gain experience in cutting-edge analysis of “Big Data” and have the opportunity to publish in high-impact statistics, biostatistics, and health research journals.
We seek a highly motivated individual with a Ph.D. in statistics/biostatistics/bioinformatics or a related quantitative field such as computer science, engineering, or quantitative computational biology. Applicants must have strong training in statistics and excellent programming skills, in particular R/Python and preferably one lower level computer language such as C/C++, and interest in the application of state- of-the-art statistical and machine learning methods to complex data. Interest or background in deep learning and image analysis is a plus. The appointment is for two years, with a possible extension for a third year.