One or more postdoc positions available. The researcher will develop and apply statistical and computational methods for analysis of high-throughput genomic and proteomic data in population-based and clinical studies. We seek an individual with strong statistical, computing and genetic backgrounds and who has expertise in some subset of high-dimensional data analysis, statistical genomics, genome-wide analysis, gene-environment interaction, and proteomics. This position will be supervised by Dr. Xihong Lin. In your application, please reference "P01 project 3".

A Ph.D. in statistics, biostatistics, mathematics or a related quantitative field is required. Additional qualifications are programming experience in R or Matlab, as well as excellent written and oral communication skills.

Applications will be considered as they arrive, starting in April 2008.

To apply, send cover letter describing your research interests and interest in the position, with CV and names of three references. Application materials should be sent by email (preferred) to biostat_postdoc@hsph.harvard.edu, or mail to Mona Fuller, Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, 4th floor, Boston MA 02115

Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.