Postdoctoral Opportunities
Applicants are welcome to apply for more than one position, but a separate application will be required for each position.
Postdoctoral Research Position in Bayesian Biostatistics
Postdoctoral Research Position in Cancer Computational Biology and Bioinformatics
Postdoctoral Research Position in Environmental Statistics
Postdoctoral Position in Epidemiology
Postdoctoral Research Position in Statistical Methods for Mismeasured and Mis-classified Epidemiologic Data
Postdoctoral Research Position in Computational Biology
Postdoctoral Research Position in Bayesian Biostatistics
Description:
This position is in the Department of Biostatistics at the Harvard School of Public Health. Primary responsibilities will be methodological development and applied work on Bayesian methodology to address important problems in public health and policy evaluation. Applied areas emphasize analysis of observational data, including (but not limited to) evaluation of air pollution regulatory policies and comparative effectiveness research for clinical treatments and healthcare delivery strategies.
Qualifications:
Ph.D. in statistics, biostatistics, or a related field. Experience in analysis of large data, Bayesian computational methods and causal inference are preferred but not required.
Additional Information:
Please email a cover letter describing research interests and experience along with a CV and names of three references to biostat_postdoc@hsph.harvard.edu, or mail to: Postdoc Search, c/o Vickie Beaulieu, Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Building 2, 4th Floor, Boston MA 02115. In your application, please reference “Bayesian Biostatistics Postdoc.” Questions about the position can be emailed to Vickie Beaulieu at the same email address.
Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.
Postdoctoral Research Position in Cancer Computational Biology and Bioinformatics
Description:
The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute seeks a postdoctoral fellow with expertise in Cancer Computational Biology and Bioinformatics to work as part of an international, interdisciplinary team working on integrated analysis of genomic profiles in Breast Cancer in a large cohort study.
This postdoctoral fellow will work with Dr. Quackenbush to develop analytical methods for integrating the various data that will be collected as part of this project and will work with the various individual investigators on the analysis of their individual and collective data sets. Opportunities exist for the analysis of gene expression, GWAS, and other data and the development of new methods for linking and interpreting these data.
Qualifications:
Doctoral degree in Biostatistics and/or Computational Biology.
Additional Information:
Applicants should send a curriculum vitae and the names of three references to coraccio@jimmy.harvard.edu, or to: PhD in Biostatistics Job Search, Attn: Joan Coraccio, Dana-Farber Cancer Institute, 450 Brookline Ave. SM822, Boston MA 02215.
Consideration of an application will begin after the application package is complete.
Applications from minority and female candidates are especially encouraged. Dana-Farber Cancer Institute is an AA/EOE.
Postdoctoral Research Position in Environmental Statistics
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 but are not limited to methods for analysis of high-throughput genomic and epigenetic data in population-based environmental health studies, spatial-temporal modeling of environmental exposures and disease outcomes, and health effects of complex mixtures. The work will involve both methodological research and close collaboration with environmental health researchers.
Qualifications:
Qualifications are a PhD in statistics, biostatistics, or computer science with strong programming skills in R, Matlab, or C, as well as good written and oral communication skills.
Additional Information:
The position will be supervised by Drs. Xihong Lin and Brent Coull. Informal questions can be sent to Dr. Brent Coull (bcoull@hsph.harvard.edu). Applications will be considered as they arrive. Please 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 Vickie Beaulieu, Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Building 2, 4th Floor, Boston MA 02115.
Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.
Postdoctoral Position in Epidemiology
Description:
A Postdoctoral Fellow position is available in the Department of Epidemiology at the Harvard School of Public Health. The position involves methodological and applied work in epidemiologic research to identify biological, social, environmental, and genetic diagnostic markers of perinatal morbidity and mortality; and to integrate treatments and prevention targets for these disorders. Opportunities exist for planning, design, implementation, monitoring and analysis of epidemiologic research from case control, cross-over, cohort studies, as well as clinical trials. Fellow will work closely with Professor Michelle Williams and her team, and will have opportunities for both applied research and close collaboration with a multidisciplinary research team working on studies of reproductive and perinatal research.
The fellowship is for a two year period beginning as early as March, 2012.
Qualifications:
Applicants must have a doctoral degree in epidemiology, biostatistics or related field. Candidates should have a strong quantitative background, experience in programming and analysis of epidemiological data using SAS, STATA, SPSS, or other packaged programs, excellent written and oral communication skills; and ability to work independently and with collaborators.
Additional Information:
To apply, please send a research statement, CV, contact information for three references and one sample publication by email to Bizu Gelaye, (bgelaye@hsph.harvard.edu). Applications will be considered as they arrive.
Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.
Postdoctoral Research Position in Statistical Methods for Mismeasured and Mis-classified Epidemiologic Data
Description:
Postdoctoral Research Fellow position in statistical measurement error methods is available in the Department of Biostatistics with Dr. Donna Spiegelman, in her group including Drs. Bernard Rosner, Molin Wang, Yi Li, Xiaomei Liao and David Zucker. This position involves methodological developments and applied work aimed at correcting for bias in estimation and inference due to covariate measurement error in survival data analysis and generalized linear models, particularly as arises in studies of the health effects of air pollution and in nutritional epidemiology. Opportunities are available for collaborative statistical research in the areas of global HIV/AIDS and chronic disease epidemiology with the Nurses’ Health Study and Health Professionals Follow-up Study.
Qualifications:
PhD in statistics or biostatistics, strong programming skills, as well as good written and oral communication skills. Prior course work in epidemiology and/or experience with epidemiologic data preferred. Candidates whose doctoral dissertation focused on survival data analysis, measurement error and/or misclassification are desired.
Additional Information:
Scientific questions regarding this position can be sent to Donna Spiegelman at stdls@hsph.harvard.edu. 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. Please be sure to indicate your qualifications in terms of each of the items mentioned above. In your application, please reference “Measurement Error Methods Postdoc”. Application materials should be sent by email (preferred) to biostat_postdoc@hsph.harvard.edu, or mail to: Postdoc Search, c/o Vickie Beaulieu, Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Building 2, 4th Floor, Boston MA 02115.
Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.
Postdoctoral Research Position in Computational Biology
Description:
A two or three year postdoctoral position in computational biology with the focus on single-cell transcriptome analysis is available at the Guo-Cheng Yuan Lab in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute/Harvard School of Public Health.
The goal of the Yuan Lab is to devise statistical and computational approaches to elucidate systems-level gene regulatory mechanisms and their implications in development and disease. Current projects include the development of statistical methods for the inference of gene regulatory networks, for genome-wide chromatin state characterization, and for integration of genomic data-types. In addition, our group applies systems biology approaches to gain mechanistic insights into the biology of stem cells, cancer, and lung diseases in collaboration with experimental biologists and clinicians at Harvard Medical School.
The candidate will develop nonlinear dynamics and statistical methods for analyzing single-cell transcriptomic data, with the aim of characterizing the cellular heterogeneity and lineage hierarchy associated with cancer initiation and maintenance. The candidate will closely collaborate with Dr. Stuart Orkin’s group.
Qualifications:
The successful applicant should hold a doctoral degree or equivalent qualification in nonlinear dynamics, physics, statistics, bioinformatics, or a similar field. Candidate holding a degree in biological science should have demonstrated experience in computational or statistical work.
Strong programming (in Matlab, R, C/C++, or Python) and communication skills are required. Previous experience in analysis, interpretation, and integration of genomic data-types is highly desired.
Lead author in at least one publication in major peer-reviewed scientific journals.
Additional Information:
Interested applicants please send CV and at least two recommendation letters to Dr. Guo-Cheng Yuan (gcyuan@jimmy.harvard.edu).
Applications from minority and female candidates are especially encouraged. Dana-Farber Cancer Institute is an AA/EOE.