Postdoctoral Associate in Biostatistics and Bioinformatics
Duke University is seeking a postdoctoral associate in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/) within the School of Medicine. Duke University is regularly ranked among the top research institutions in the US and worldwide. Duke University School of Medicine is ranked among country’s top 10 medical schools and is located in Durham, North Carolina.
Position Description: The overall goal of this position funded by a new 5-year NIH project (https://tinyurl.com/yy8xwtoq) is to: (1) develop inference and dynamic prediction models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis. The postdoctoral associate, under the mentorship of Dr. Sheng Luo, is required to work on at least one of these objectives. The application areas include neurological diseases, aging research, cardiovascular diseases, and radiology. The work will involve both methodological research with biostatistics faculty and collaboration with biomedical investigators.
Requirements and Expectations: A Ph.D. in statistics, biostatistics, bioinformatics, statistical genetics or other related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysis, high-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programming, collaboration, and communication skills.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
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