Postdoctoral Fellowships
Applicants are welcome to apply for more than one position, but a separate application will be required for each position.
Postdoctoral Research Position in Statistical Methods for Mis-measured and Mis-classified Epidemiologic Data
Postdoctoral Research Position in Cancer Surveillance Statistics
Postdoctoral Research Position in Statistical Genomics and 'Omics
Postdoctoral Research Position in Psychiatric Biostatistics
Postdoctoral Research Position in Cancer Screening
Postdoctoral Research Position in Statistical Genetics
Postdoctoral Research Position in Functional Genomics
Postdoctoral Research Position in Environmental Statistics
Postdoctoral Research Position in Statistical Methods for Mis-measured and Mis-classified Epidemiologic Data
Description:
Postdoctoral Research Fellow position in statistical measurement error methods is available in the Department of Biostatistics at the Harvard School of Public Health. Applicant will be joining a dynamic multi-disciplinary group consisting of Drs. Donna Spiegelman, Bernard Rosner, Yi Li and David Zucker, and other colleagues at Harvard, University of Washington, the Technion in Haifa, Israel and Hebrew University in Jerusalem, Israel. 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, particulary as arises in studies of the health effects of air pollution and in nutritional epidemiology.
Qualifications:
Qualifications are a 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. 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 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.
Postdoctoral Research Fellow position in statistical measurement error methods is available in the Department of Biostatistics at the Harvard School of Public Health. Applicant will be joining a dynamic multi-disciplinary group consisting of Drs. Donna Spiegelman, Bernard Rosner, Yi Li and David Zucker, and other colleagues at Harvard, University of Washington, the Technion in Haifa, Israel and Hebrew University in Jerusalem, Israel. 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, particulary as arises in studies of the health effects of air pollution and in nutritional epidemiology.
Qualifications:
Qualifications are a 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. 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 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.
Postdoctoral Research Position in Cancer Surveillance Statistics
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.
Additional Information:
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 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.
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.
Additional Information:
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 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.
Postdoctoral Research Position in Statistical Genomics and 'Omics
Description:
Postdoctoral Research Fellow position in statistical genomics and 'omics is available at Harvard School of Public Health. This position involves developing and applying statistical and computational methods for analysis of high-throughput genomic and epigenetic 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 interactions, and epigenetics. The work will involve both methodological research with department faculty and collaboration with subject matter researchers.
Qualifications:
PhD in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills.
Additional Information:
Scientific questions regarding this position can be sent to Xihong Lin at xlin@hsph.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 "Lin Statistical 'Omics 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.
Postdoctoral Research Fellow position in statistical genomics and 'omics is available at Harvard School of Public Health. This position involves developing and applying statistical and computational methods for analysis of high-throughput genomic and epigenetic 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 interactions, and epigenetics. The work will involve both methodological research with department faculty and collaboration with subject matter researchers.
Qualifications:
PhD in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills.
Additional Information:
Scientific questions regarding this position can be sent to Xihong Lin at xlin@hsph.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 "Lin Statistical 'Omics 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.
Postdoctoral Research Position in Psychiatric Biostatistics
Description:
The position is in the Department of Biostatistics at the Harvard School of Public Health and involves methodological and applied work on statistical methods for data arising from studies in psychiatry and mental health research. Some examples include statistical methods for the analysis of family-based genetic association studies, methods for the analysis of multiple informant data, and methods for the analysis of correlated data. The work will involve both methodological research with department faculty and collaboration with subject matter researchers.
Qualifications:
Qualifications are a PhD in statistics or biostatistics, as well as good written and oral communication skills. Position funding requires that applicant be a US citizen or permanent resident.
Additional Information:
Informal questions can be sent to Dr. Nan Laird (laird@hsph.harvard.edu) or Dr. Garrett Fitzmaurice (fitzmaur@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. In your application, please reference "Psychiatric 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
Building 2, 4th Floor
Boston MA 02115
Description:
The position is in the Department of Biostatistics at the Harvard School of Public Health and involves methodological and applied work on statistical methods for data arising from studies in psychiatry and mental health research. Some examples include statistical methods for the analysis of family-based genetic association studies, methods for the analysis of multiple informant data, and methods for the analysis of correlated data. The work will involve both methodological research with department faculty and collaboration with subject matter researchers.
Qualifications:
Qualifications are a PhD in statistics or biostatistics, as well as good written and oral communication skills. Position funding requires that applicant be a US citizen or permanent resident.
Additional Information:
Informal questions can be sent to Dr. Nan Laird (laird@hsph.harvard.edu) or Dr. Garrett Fitzmaurice (fitzmaur@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. In your application, please reference "Psychiatric 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
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 Cancer Screening
Description:
Postdoctoral Research Fellow position in Biostatistics is available at Dana-Farber Cancer Institute and Harvard School of Public Health. The work will involve stochastic modeling for early detection of disease. This work deals with extending and applying the current models for new breast cancer screening modalities. The relevant previous work includes: Lee and Zelen (Biometrics, 2008; JNCI 2006) and Shen and Zelen (Biostatistics, 2005). Candidates with strong mathematics / statistics / biostatistics background are encouraged to apply. One-year term and renewable for the second year. The appointment can start as soon as possible.
Additional Information:
Please email CV and names of three references to Sandra Lee (sjlee@jimmy.harvard.edu).
Description:
Postdoctoral Research Fellow position in Biostatistics is available at Dana-Farber Cancer Institute and Harvard School of Public Health. The work will involve stochastic modeling for early detection of disease. This work deals with extending and applying the current models for new breast cancer screening modalities. The relevant previous work includes: Lee and Zelen (Biometrics, 2008; JNCI 2006) and Shen and Zelen (Biostatistics, 2005). Candidates with strong mathematics / statistics / biostatistics background are encouraged to apply. One-year term and renewable for the second year. The appointment can start as soon as possible.
Additional Information:
Please email CV and names of three references to Sandra Lee (sjlee@jimmy.harvard.edu).
Applications from minority and female candidates are especially encouraged. Harvard University is an AA/EOE.
Postdoctoral Research Position in Statistical Genetics
Description:
Dr. Alkes Price, a faculty member in the departments of Epidemiology and Biostatistics at the Harvard School of Public Health, is seeking a post-doctoral research fellow to work on statistical genetics methods and their application to large real-world data sets in human medical genetics. The fellow will work closely with Dr. Price, with other quantitative Ph.D's in his group, and with collaborators at HSPH, HMS and The Broad Institute. Questions that we aim to answer include: (1) Which scoring statistics for genome-wide association studies in populations of mixed ancestry provide maximum power to identify disease genes, accounting for admixture association, imputation and replication strategy, (2) What can we learn about the "missing heritability" in eQTL studies of gene expression regulation by leveraging statistical information from thousands of independent phenotypes, and (3) Which new statistical approaches will maximize the informativeness of resequencing data for identifying disease genes in homogeneous, structured and/or admixed populations.
Qualifications:
Ph.D in a quantitative field, exceedingly strong quantitative research background, experience working with large real-world data sets, statistical and programming proficiency, and an interest in working in genetics (no biology background needed).
Additional Information:
Please submit a cover letter (including a brief statement of interest), CV, contact information for at least 3 references, and one sample publication to Dr. Alkes Price.
Email is preferred. If mailing, however, please send to:
Postdoc Search, c/o Jelena Follweiler
Department of Biostatistics
Harvard School of Public Health
655 Huntington Avenue
Building 2, 4th Floor
Boston MA 02115
Description:
Dr. Alkes Price, a faculty member in the departments of Epidemiology and Biostatistics at the Harvard School of Public Health, is seeking a post-doctoral research fellow to work on statistical genetics methods and their application to large real-world data sets in human medical genetics. The fellow will work closely with Dr. Price, with other quantitative Ph.D's in his group, and with collaborators at HSPH, HMS and The Broad Institute. Questions that we aim to answer include: (1) Which scoring statistics for genome-wide association studies in populations of mixed ancestry provide maximum power to identify disease genes, accounting for admixture association, imputation and replication strategy, (2) What can we learn about the "missing heritability" in eQTL studies of gene expression regulation by leveraging statistical information from thousands of independent phenotypes, and (3) Which new statistical approaches will maximize the informativeness of resequencing data for identifying disease genes in homogeneous, structured and/or admixed populations.
Qualifications:
Ph.D in a quantitative field, exceedingly strong quantitative research background, experience working with large real-world data sets, statistical and programming proficiency, and an interest in working in genetics (no biology background needed).
Additional Information:
Please submit a cover letter (including a brief statement of interest), CV, contact information for at least 3 references, and one sample publication to Dr. Alkes Price.
Email is preferred. If mailing, however, please send to:
Postdoc Search, c/o Jelena Follweiler
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 Functional Genomics
Description:
The Huttenhower lab in the Department of Biostatistics at the Harvard School of Public Health is seeking a Postdoctoral Research Fellow. This researcher will join a growing lab working in the area of functional genomic data integration, with a particular focus on metazoan interaction network analysis as applied to the study of human disease. The successful applicant will pursue research in heterogeneous data integration, develop computational models of tissue- and time-specific protein function, perform data mining for functional linkages to disease, and collaborate closely with biologists.
Qualifications:
Doctoral degree in Computer Science, Biology, Bioinformatics, or a related field; familiarity with diverse genomic data types, particularly microarray integration and meta-analysis, as indicated by publication record; proficient in C/C++ and appropriate scripting languages; ability to communicate scientific material and collaborate well.
Additional Information:
Please submit a cover letter (including a brief statement of interest), CV, and contact information for at least 3 references to Dr. Curtis Huttenhower.
Email is preferred. If mailing, however, please send to:
Postdoc Search, c/o Jelena Follweiler
Department of Biostatistics
Harvard School of Public Health
655 Huntington Avenue
Building 2, 4th Floor
Boston MA 02115
Description:
The Huttenhower lab in the Department of Biostatistics at the Harvard School of Public Health is seeking a Postdoctoral Research Fellow. This researcher will join a growing lab working in the area of functional genomic data integration, with a particular focus on metazoan interaction network analysis as applied to the study of human disease. The successful applicant will pursue research in heterogeneous data integration, develop computational models of tissue- and time-specific protein function, perform data mining for functional linkages to disease, and collaborate closely with biologists.
Qualifications:
Doctoral degree in Computer Science, Biology, Bioinformatics, or a related field; familiarity with diverse genomic data types, particularly microarray integration and meta-analysis, as indicated by publication record; proficient in C/C++ and appropriate scripting languages; ability to communicate scientific material and collaborate well.
Additional Information:
Please submit a cover letter (including a brief statement of interest), CV, and contact information for at least 3 references to Dr. Curtis Huttenhower.
Email is preferred. If mailing, however, please send to:
Postdoc Search, c/o Jelena Follweiler
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 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 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.
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.