| Company Information:
The University of Texas MD Anderson Cancer Center is located in the Texas Medical Center in Houston, TX. The Department of Biostatistics is in the Division of Quantitative Sciences at The University of Texas MD Anderson Cancer Center. The Division of Quantitative Sciences includes the Department of Biostatistics and the Department of Bioinformatics and Computational Biology, and has over 150 members, including 35 full time and 5 part-time faculty researchers, 5 PhD-level research statisticians, 2 PhD-level bioanalysts, 8 postdoctoral fellows, 25 master’s degree-level statistical analysts, and 12 PhD-level statistical analysts. Additional research is conducted by 8 graduate research assistants currently under supervision in the division. The department performs a wide range of collaborative and methodological research related to all areas of cancer researcher, including prevention, risk modeling, early detection and screening, biomarker detection and validation, clinical trials, and large-scale epidemiological studies. The Department of Bioinformatics and Computational Biology houses one of seven Genome Data Analysis Centers (GDACs) for The Cancer Genome Atlas (TCGA), and recently the institution has kicked off a new "moonshot" plan, a broad, integrated multi-faceted approach to cancer research. (http://news.sciencemag.org/scienceinsider/2012/09/md-anderson-launches-3-billion-m.html)
Position Title:
postdoctoral researcher
Duties & Responsibilities:
The postdoctoral fellows will work under the supervision of Dr. Jeffrey S. Morris. The primary research focus will be on developing novel statistical and computational methodology for the analysis of complex, high-dimensional object data, including high-dimensional functional data, neuroimaging data, shape data, and genomics data. Potential application areas include functional MRI, electrical response potentials (ERP), shape data, and various types of genomics data including copy number, methylation, miRNA, microarray, proteomics, and next generation sequencing data. Some potential projects include integration of information across outcomes of various types, and flexible modeling approaches that incorporate both biological knowledge and empirical structures.
Position Qualifications:
We seek a highly motivated individual with a Ph.D. degree in statistics/biostatistics or related quantitative fields. Must have strong methodology training in statistics/biostatistics; strong programming skills, in particular R/Matlab and preferably one lower level computer language such as C or Fortran; interest in statistical methodology research. Interest or background in bioinformatics, genomics, proteomics or neuroimaging is a plus. Expertise or skills in any of the following areas are desirable: analysis of high-dimensional data, Bayesian MCMC computations, Bayesian variable selection and sparsity priors, linear models, nonparametric regression, spatio-temporal data, multivariate techniques, functional data analysis.
Salary Range:
$65,000
Benefits:
Competitive benefits See: http://www.mdanderson.org/education-and-research/education-and-training/schools-and-programs/research-training/programs-and-courses/postdoctoral-research-programs/benefits/index.html
Web Site:
http://www.mdanderson.org/departments/biostats/
Application Address:
Interested applicants should send a cover letter and vitae (with three references) to: pcunning@mdanderson.org (Subject line: Morris postdoc)
Contact Email: pcunning@mdanderson.org
Application Deadline:
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