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Fellowships for Interdisciplinary Research in Radiation Epidemiology and Statistics

The Radiation Epidemiology (REB) and Biostatistics (BB) Branches seek qualified applicants for two post-doctoral fellowships for interdisciplinary research on statistical issues in studying the role of radiation in cancer etiology.  Successful candidates for these positions will be jointly mentored by investigators from REB and BB.  

Major responsibilities will include collaboration on radiation epidemiologic studies and evaluation of complex methodological issues, such as non-standard modeling of dose-response relationships of radiation and cancer-risk accounting for measurement error in dosimetry. The candidate will also be given flexibility to pursue research in broader statistical areas, such as statistical genomics and measurement error modeling, that have applications beyond radiation epidemiologic studies.


Interdisciplinary Research on Radiation Epidemiology, Statistics, and Genomics

Under this fellowship, fellows 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 state-of-the-art studies 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.

Interdisciplinary Research on Radiation Epidemiology and Statistics

Fellows in this fellowship will conduct research on specific applications where complex measurement error modeling is required, including REB’s signature cohort studies of cancer risks in children who underwent CT scans, a cohort of 13,000 Ukrainian individuals exposed to high doses of radiation due to the Chernobyl nuclear power plant accident and a cohort of 100,000 radiologic technologists that includes rich exposure and lifestyle information.  Applications for risk prediction modeling include cancer survivorship studies and development of radiation protection models from the long-term follow-up of the Japanese atomic bomb survivors.  

Eligibility Requirements

A Ph.D. in Statistics, Biostatistics or in a similar quantitative field is required. Individuals with both theoretical and applied backgrounds with strong computational skills are encouraged to apply.

Interested candidates should send a cover letter, curriculum vitae, and the names of three referees to: Dr. Martha Linet ( or Dr. Nilanjan Chatterjee (, who may also be contacted for questions about the positions.

See the Division Fellowship Information pages for an overview, qualifications, and application details.