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 Bioinformatics – Parmigiani Lab
Postdoctoral Research Position in Statistical Genetics and Genomics
Postdoctoral Research Positions in Computational Biology and Metagenomics
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 Bioinformatics – Parmigiani Lab

Description:

The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute seeks a postdoctoral fellow in bioinformatics, to work with Drs. Nikhil Munshi and Giovanni Parmigiani on bioinformatics projects within the outstanding multiple myeloma program at DFCI. The position offers excellent scientific training opportunities in a highly stimulating and interdisciplinary environment involving close interactions between computational scientists, medical oncologists and basic scientists.

Qualifications:

Applicants should have a strong quantitative background and hold a Ph.D. in Bioinformatics, Computational Biology, Statistics or Biostatistics. Previous interdisciplinary collaboration experience, and previous experience with ChIP-seq or other second generation sequencing data are highly desirable. Good communication and programming skills are required.

Additional Information:

Applicants should submit a curriculum vitae to Dr. Parmigiani via email to chair@jimmy.harvard.edu and arrange for three recommendation letters to be sent electronically to the same address.

Consideration of an application will begin after the application package is complete.

Dana-Farber Cancer Institute is an AA/EOE.



Postdoctoral Research Position in Statistical Genetics and Genomics

Description:

Postdoctoral Research Fellow position in statistical genetics and genomics 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, especially next generation sequencing association studies, genes and environment, genome-wide association studies and epigenetic association 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:

Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, strong genetic knowledge, 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 Genomics 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.

Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

Information on resources for career development and work/life balance at HSPH can be found at: http://hsph.me/resources-career-development-and-work-life-balance.



Postdoctoral Research Positions in Computational Biology and Metagenomics

Description:

The Huttenhower lab in the Biostatistics Department of the Harvard School of Public Health is seeking to fill five bioinformatics postdoctoral research positions:

  • Computational methods development for biomolecular function and pathway analysis of metagenomes and metatranscriptomes. The successful candidate will build on the lab’s HUMAnN, ShortBRED, and PICRUSt methods for microbial community profiling to create the next generation of meta’omic metabolic reconstruction algorithms. Expertise in machine learning, Python development, and the Linux/Unix command line environment is required.
  • Statistical methods development for human transcriptomic and microbial metatranscriptomic RNA-seq high-dimensional data. The successful candidate must be statistically trained and familiar methods implementation in R/Bioconductor packages. He or she will work at the interface of biostatistics, bioinformatics, and cancer biology to develop novel analysis methods (diagnostic/prognostic biomarker discovery and outcome prediction) for meta’omic data in the context of molecular epidemiology of colorectal cancer.
  • Analysis of the gut microbiome in inflammatory bowel disease. The successful candidate will be appointed through the Broad Institute and will be responsible for analysis of primary microbiome samples (16S rRNA gene sequencing, shotgun metagenomics, and metatranscriptomics) and meta-analysis of studies from throughout the Crohn’s and Colitis Foundation of America Microbiome Initiative in order to prioritize candidate microbes and microbial biomolecules for experimental characterization. He or she will work closely with Drs. Ramnik Xavier and Dirk Gevers as part of the CCFA consortium.
  • Analysis of the human microbiome in colorectal cancer. The successful candidate will be appointed through the Broad Institute and will be responsible for executing a STARR Cancer Consortium-funded project investigating the gut microbiota’s role in modulating dietary and genetic (Lynch syndrome) colorectal tumorigenesis.
  • Analysis of multi’omic data describing the human microbiome in type 1 diabetes. The successful candidate will be appointed through the Broad Institute and co-advised jointly with Dr. Dirk Gevers’ lab, and he or she will be responsible for computational analysis of over 10,000 microbiome samples as part of the TEDDY (The Environmental Determinants of Diabetes in the Young) study.

The Huttenhower lab is broadly engaged in methods development for and multiple collaborative studies of the roles of the human microbiome in health and disease, with a focus on computational methods to characterize biomolecular functions within these microbial communities and their interactions with host immunity and genetics. The group works closely with the Broad Institute, the Dana-Farber Cancer Institute, and the broader Boston biomedical and life sciences communities, resulting in a rich environment for quantitative, computational, and laboratory collaborations.

Qualifications:

Doctoral degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Biology, or a related field; proficiency in one or more statistical or scripting languages appropriate for scalable data analysis; comfort and experience with programming for biological data analysis; familiarity with functional genetic and/or genomic data, as indicated by publication record; ability to communicate scientific material and collaborate well.

Additional Information:

Please submit a cover letter (including a brief but detailed statement of interest), CV, and contact information for at least three references to Dr. Curtis Huttenhower at chuttenh@hsph.harvard.edu AND biostat_postdoc@hsph.harvard.edu.

Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

Information on resources for career development and work/life balance at HSPH can be found at: http://hsph.me/resources-career-development-and-work-life-balance.



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 julianna@jimmy.harvard.edu, or to: PhD in Biostatistics Job Search, Attn: Julianna 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.

Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

Information on resources for career development and work/life balance at HSPH can be found at: http://hsph.me/resources-career-development-and-work-life-balance.



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.

Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

Information on resources for career development and work/life balance at HSPH can be found at: http://hsph.me/resources-career-development-and-work-life-balance.



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.

Harvard University seeks to find, develop, promote, and retain the world’s best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged.

Information on resources for career development and work/life balance at HSPH can be found at: http://hsph.me/resources-career-development-and-work-life-balance.