Breast Cancer Risk Prediction Postbaccalaureate Fellowship
Work with Drs. Pal Choudhury and García-Closas
Candidates with training in biostatistics/statistics/quantitative epidemiology are invited to apply to study risk prediction of breast cancer as a postbaccalaureate fellow, under the mentorship of Parichoy Pal Choudhury, Ph.D., research fellow, and Montserrat García-Closas, M.D., Dr.P.H., Director of the Trans-Divisional Research Program. Projects may involve:
- Investigating the role of polygenic risk scores for major cancers and other mortality related traits as a predictor of the absolute risk of common cancers and all-cause and cause specific mortality;
- Applying current methods and software to predict absolute risk of breast cancer in non-European ancestry populations;
- Developing efficient estimators of validation for breast cancer risk models and applying them using real data from prospective two-phase cohort studies; and/or
- Studying the role of mammographic density in conjunction with other risk factors to predict breast cancer risk.
Projects can be tailored based on the research interests and projected career progression of the student.
The candidate will receive individual mentoring to achieve and make progress toward their career goals during the fellowship.
Qualifications: Undergraduate/master's degree, preferably with some training/experience in statistics/biostatistics/quantitative epidemiology at the level of implementing data analysis and simulations. Coding skills—particularly in statistical packages like R—will be helpful. Candidate must be a U.S. citizen or a permanent resident.
For more information about the fellowship, contact Dr. Parichoy Pal Choudhury, Research Fellow, DCEG.
To Apply: Submit a cover letter, CV, and names of three references to Dr. Pal Choudhury.
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.