Biostatistics Opportunities with Specific Investigators
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 (firstname.lastname@example.org), Chief of BB, DCEG and Prof. Kung-Yee Liang (email@example.com), Co-Graduate Program Director, Department of Biostatistics, JHSPH.
Current Training Opportunity(s)
- Training in Methods for Epidemiologic Studies with Dr. Sholom Wacholder
Overview: Dr. Wacholder is looking for a postdoc interested in methods for design, analysis and interpretation of epidemiologic studies. The emphasis of the research will be on applications addressing important public health and clinical questions with primary data. In addition to strong quantitative skills, this position requires either knowledge of methods for epidemiologic studies or solid statistical training. For more details on the opportunity, please contact Dr. Wacholder (firstname.lastname@example.org).
- Training in Applied Statistics and Quantitative Epidemiology with Dr. Hormuzd Katki
Overview: Dr. Katki is looking for a postdoctoral fellow interested in developing statistical methods for epidemiology or conducting sophisticated quantitative epidemiologic analyses. Possible areas for developing statistical methods include evaluating risk models, developing dynamic risk models, analyzing massive administrative databases, or applying sampling theory to epidemiology. Possible areas of quantitative epidemiologic analysis include developing risk calculations using a variety of data sources for clinical use in cervical cancer screening and lung cancer screening, evaluating the potential impact of hypothetical screening programs, and quantifying the benefits of smoking cessation. The emphasis of the research will be on applications addressing important public health and clinical questions with primary data. In addition to strong quantitative and computational skills, this position requires either knowledge of methods for epidemiologic studies or solid statistical training. For more details on the opportunity, please contact Dr. Katki (email@example.com).
- Fellowships for Interdisciplinary Research in Radiation Epidemiology and Statistics
The Radiation Epidemiology (REB) and Biostatistics Branches (BB) 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 in radiation epidemiologic studies and evaluation of complex methodological issues, such as non-standard modeling of dose-response relationship of radiation and cancer-risk and accounting for measurement error in dosimetry in such risk estimation. The candidate will also be given flexibility to pursue research in broader statistical areas, such as measurement error modeling or statistical genomics, that have applications beyond radiation epidemiologic studies.
1) Interdisciplinary Research on Radiation Epidemiology and Statistics
Fellows in this fellowship will conduct research on specific applications where complex measurement error modeling is required include REB’s signature cohort studies of cancer risks in children who underwent CT scans, a cohort of 13,000 Ukrainian individuals exposed to high-dose 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.
2) 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.
- 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 (firstname.lastname@example.org) or Dr. Nilanjan Chatterjee (email@example.com), who may also be contacted for questions about the positions.
See the Division Fellowship Information http://dceg.cancer.gov/fellowship-training/fellowship-program page for an overview, qualifications, and application details
See the Division Fellowship Information page for an overview, qualifications, and application details.