Fellowships in Biostatistics

Current Training Program

NCI – Hopkins Predoctoral Training Partnership in Biostatistics
Overview: The Biostatistics Branch (BB) in DCEG and the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health (JHSPH) have created a joint pre-doctoral pilot program to train biostatistics students in the area of cancer epidemiology and genetics. It is hoped that this four-year pilot program will lead to a future, long-standing training program between the two institutes.
Eligibility: Students who are either applying to JHSPH to begin their Ph.D. training in biostatistics in the Fall of 2009 or who are outstanding Ph.D. candidates already enrolled in the JHSPH doctoral program in biostatistics. Up to two students will be selected per year with a targeted total enrollment of four trainees.
Training Curriculum: Trainees spend the first two academic years in-residence at JHSPH with summers spent gaining research experience with BB investigators in the DCEG at NCI. The three-year dissertation phase is spent full-time at NCI, where students will receive an NCI stipend (currently in the range of $31,700-33,700). Faculty from JHSPH and the DCEG provide joint mentorship of trainees throughout their course of study.
For more information on this new initiative, you may contact Dr. Nilanjan Chatterjee (chattern@mail.nih.gov), Chief of BB, DCEG and Prof. Kung-Yee Liang (kyliang@jhsph.edu), Co-Graduate Program Director, Department of Biostatistics, JHSPH.

Training in Methods for Epidemiology and Genetics Studies with Dr. Sholom Wacholder
Dr. Wacholder is looking for a postdoc who is interested in design and analysis of epidemiologic studies and who is comfortable with allowing applications to motivate methodologic research. Dr. Wacholder plays a key role on a number of exciting substantive projects. These include several genome-wide association, cohort, and case-control studies that address questions related to cancer prevention and etiology, clinical practice, and randomized trials. Each project raises methodologic questions that are challenging and important beyond the specific application. Solving these problems in a way that will improve the science can be fun, worthwhile, and professionally rewarding. In addition to strong quantitative skills, this position requires either knowledge of methods for epidemiologic or genetic association studies or solid statistical training. For more details on the opportunity, please contact Dr. Wacholder (wacholds@mail.nih.gov).