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NCI Fellowship to study diet, physical activity, obesity at National Institutes of Health

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Employer: National Institutes of Health – Division of Cancer Epidemiology and Genetics

Expires: 07/08/2020

Postdoctoral fellowship to study diet, physical activity, and obesity and their relationship with cancer risk at the U.S. National Cancer InstituteWho are we looking for?We are looking for exceptional people with expertise in epidemiology, biostatistics, bioinformatics, or computer programming. You should have, or expect to soon attain, a doctorate degree in these or related fields to apply. Our postdocs are excellent academic performers and strong analytic thinkers who can learn new skills on the job.Why the National Cancer Institute?The National Cancer Institute (NCI) is one of the world’s top biomedical research institutions. Investigators at NCI focus on research and they run some of the world’s largest and most cutting-edge biomedical studies. Our postdocs analyze data from these studies and publish high-impact papers that help springboard them to success in academia, government, or industry. NCI takes mentoring seriously and has a proven track record of promoting its fellows.What roles are available?This fellowship is designed to train fellows interested in becoming leaders in the research areas of diet, physical activity, and/or obesity. You will be mentored by Dr. Steven C. Moore, Ph.D., M.P.H., of the Division of Cancer Epidemiology and Genetics (DCEG). Dr. Moore is an expert on physical activity and obesity and their role in cancer etiology. He was one of the first researchers to apply metabolomics to epidemiologic studies and was the founding chair of the Consortium of Metabolomics Studies.During this fellowship, your roles could include analyzing how exercise or diet are related to risk of cancer in datasets of millions of people or discovering new diet biomarkers by analyzing how weighed food intake relates to levels of 1000s of metabolites from blood and urine. Programmers would help develop new online tools for statistical analysis of omics data in collaboration with leading biostatisticians from around the world. Your skills and preferences will be considered in determining your role. How will you grow?Your fellowship will train you to become a top-notch data analyst with expertise in cutting-edge technologic and statistical approaches to the study of diet, physical activity, and obesity. You will build a large professional network of leading experts in these research areas through collaborative research activities. You will be mentored closely to help you improve your skills and achieve your career goals.How can you apply?Please send a CV and cover letter (or any questions) to Salary and benefits are highly competitive and commensurate with experience. The DHHS and NIH are Equal Opportunity Employers. Additional details are available at Telework start may be possible, given the Covid-19 epidemic. This post will remain open until positions are filled.