Description:
The position is in the Department of Biostatistics at Harvard School of Public Health and involves methodological and applied work on statistical methods for data arising from environmental health studies. Examples include spatial-temporal modeling of air pollution data and disease outcomes, health effects of complex mixtures, high-throughput genomic and proteomic studies in environmental sciences, modeling gene and environment interactions, and biomarker modeling for environmental exposure and disease outcomes. The work will involve both methodological research and close collaboration with environmental health researchers.
Qualifications:
Qualifications are a PhD in statistics or biostatistics with strong programming skills in R, Matlab, or C, as well as good written and oral communication skills.
Additional Information:
Depending on research interests, the position will be supervised by Dr. Francesca Dominici or Dr. Brent Coull or Dr. Xihong Lin. Informal questions can be sent to Dr. Francesca Dominici (fdominic@hsph.harvard.edu). There is a possibility to fill the opening for the spring semester, and applications will be considered as they arrive.
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 "Environmental 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
Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.