Description:
Postdoctoral Research Fellow position in cancer surveillance statistics is available at Dana-Farber Cancer Institute and Harvard School of Public Health. This position involves methodological developments and applied work in longitudinal data analysis, survival analysis, modern multivariate analysis (large p, small n), variable/model selection and robust prediction. Potential areas of application are cancer surveillance, cancer trend analysis, cancer disease mapping and health disparities. We encourage candidates with strong statistical and computational backgrounds to apply.

Qualifications:

Qualifications are a PhD in statistics or biostatistics, as well as good written and oral communication skills.

To apply: Scientific questions regarding this position can be sent to Yi Li at yili@jimmy.harvard.edu. To apply, send cover letter describing your research interests and interest in the position, with CV and names of three references. In your application, please reference "Cancer Surveillance Statistics Postdoc". Application materials should be sent by email (preferred) to biostat_postdoc@hsph.harvard.edu, or mail to:

Postdoc Search, c/o Jelena Follweiler
Department of Biostatistics
Harvard School of Public Health
655 Huntington Avenue
Bldg 2, 4th floor
Boston MA 02115

Located on the Harvard Medical Campus, the Department of Biostatistics was one of the first departments in the newly formed Harvard School of Public Health in 1922. Called the Department of Vital Statistics until 1946, it was a result of the work of Lemuel Shattuck in the last century. Shattuck founded the American Statistical Association in 1839, the oldest professional society in America; his name is preserved on a street that runs through the campus. The departmental location is central to its mission: to facilitate collaborations between the members of the Department and other medical scientists.

The Department is comprised of approximately 70 students, 60 faculty members, and 55 research scientists, research associates and fellows. Our size contributes to our ability to address a broad spectrum of biostatistical and public health issues.