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Discovering the causes of cancer and the means of prevention
 

Interdisciplinary Research in Radiation Epidemiology and Biostatistics - Postdoctoral Fellowship

The Radiation Epidemiology Branch (REB) and the Biostatistics Branch (BB) of the Division of Cancer Epidemiology and Genetics (DCEG) at the National Cancer Institute/National Institutes of Health/Department of Health and Human Services seek qualified applicants for a postdoctoral fellowship performing  interdisciplinary research on statistical issues in studying the role of radiation in cancer etiology.

DCEG conducts a national and international program of population- and family-based studies to elucidate the environmental and genetic determinants of cancer. REB conducts research to identify, understand, and quantify the risks of cancer in populations exposed to medical, occupational, or environmental radiation, and to advance understanding of radiation carcinogenesis. BB statisticians collaborate across a wide variety of studies in DCEG and develop cutting-edge statistical methods in diverse areas such as machine learning, measurement error, study design, the analysis of correlated data, statistical genetics, genomics, and risk prediction.

Goals: The successful candidate for this position will be jointly mentored by investigators from REB and BB. Depending on one’s interest, projects may include the collaboration on radiation epidemiologic studies that require assessment of doses in studies as a prelude to risk evaluation and non-standard modeling of the dose-response relationship between radiation and cancer risk. There is particular interest in application of machine learning methods to these areas. The fellow will also be given flexibility to pursue research in broader statistical areas, such as machine learning methods and measurement error that have applications beyond radiation epidemiologic studies.

The fellow will have opportunity to work together with a highly talented team of researchers with experience in radiation, statistics, epidemiology, dosimetry, and genomics. Access to data from a large variety of one-of-a-kind studies (e.g., REB’s signature cohort study of cancer risks in children who underwent CT scans and a case-control study of children exposed to background radiation in the UK) would provide an excellent opportunity for identifying important problems, testing and validating the statistical methods, and eventually applying them for improved analysis and interpretation of substantive studies. Fellows will have access to high-performance computing facilities.

Qualifications: A Ph.D. in statistics, biostatistics or a similar quantitative field is required. Individuals with both theoretical and applied backgrounds with strong computational skills are encouraged to apply. The appointments can continue up to three years and can be extended for an additional 1-2 years. Further information about DCEG research, including the Radiation and Biostatistics Branches can be found on the DCEG website.

For more information about this fellowship, contact:
Dr. Mark Little;
Dr. Paul Albert; or
Dr. Amy Berrington de González

To apply: Applicants should send a cover letter, curriculum vitae and three letters of references to Ms. Bessie Sinclair, with the subject line: JOINT REB-BB FELLOWSHIP. Applicants should also mention in their cover letter that they are applying for the joint REB-BB postdoctoral fellowship position.

Review of applications will continue until the position is filled. Applicants may be U.S. citizens, permanent residents; or foreign nationals (visa requirements apply). Candidates are subject to a background investigation.

DHHS, NIH, and NCI are Equal Opportunity Employers and dedicated to building a diverse community in their training and employment programs.