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 Statistical Genetics and Genomics
Postdoctoral Research Position in Single Cell Genomics
Postdoctoral Research Position in Quantitative Sciences for Cancer Research
Postdoctoral Research Position in Environmental Health
Postdoctoral Research Position in Causal Inference Methodology
Short Term Postdoctoral Position in Neurostatistics

 

Postdoctoral Research Position in Statistical Genetics and Genomics

Description:

Postdoctoral Research Fellow position in statistical genetics and genomics is available at Harvard T. H. Chan School of Public Health. This position involves developing and applying statistical and computational methods for analysis of high-throughput genetic and genomic data, including Whole Genome Sequencing association studies, integrative analysis of genetic and genomic data high-dimensional phenotype analysis, and genome-wide epigenetic association studies. We seek an individual with strong statistical, computing and genetic backgrounds and who has expertise in statistical and computational methods for big data, statistical genetics and genomics. 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. Three reference letters are required. In your application, please reference “Lin Statistical Genetics and Genomics Postdoc”. Application materials should be sent by email (preferred) to 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 SPH can be found at: Career development and work/life balance.


Postdoctoral Research Position in Single Cell Genomics

Description:

One or two postdoctoral positions in computational biology focused on single cell genomics is available at the Guo-Cheng Yuan Lab in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute / Harvard T.H. Chan School of Public Health.

The goal of the Yuan Lab is to develop computational approaches to analyze and integrate genomic data with the aim to elucidate systems-level gene regulatory mechanisms in development and disease. Current projects include single-cell analysis, genome-wide chromatin state characterization, inference of gene regulatory networks, and functional characterization of genetic variants. Detailed description of our research can be found at our group website: http://bcb.dfci.harvard.edu/~gcyuan.

The candidate(s) will develop computational methods for analyzing single-cell transcriptomic and mass cytometry data, with the goals to characterize cellular states and identify rare cell-types, to model the dynamic changes associated with cell-state changes, to investigate the regulatory mechanism at gene expression variation, and to apply this knowledge to stem cell and cancer biology. The candidate will have the opportunity to closely interact with basic biologists and clinical investigators at the Dana-Farber Cancer Institute and Boston Children’s Hospital.

Qualifications:

The successful applicant(s) should hold a doctoral degree or equivalent qualification in computational biology, (bio)statistics, computer science, or a similar field. Candidates holding a degree in biological / medical science are also welcome to apply if they have demonstrated experience in computational or statistical work.

Strong programming (in Python, R, Matlab, or C/C++) and communication skills are required. Previous experience in analysis, interpretation, and integration of genomic, transcriptomic and epigenomic data is also required. Previous knowledge in single-cell biology is highly desired but not required.

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).

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 SPH can be found at: Career development and work/life balance.


Postdoctoral Research Position in Quantitative Sciences for Cancer Research

Description:

The Department of Biostatistics at the Harvard T. H. Chan School of Public Health invites applications for a post-doctoral research fellow position supported by the Training Grant in Quantitative Sciences for Cancer Research. The research fellow will engage in methodological research and participate in synergistic collaborative research in cancer, with mentors chosen by mutual agreement as part of the recruitment process.

Qualifications:

A doctoral degree is required. Appropriate degrees include statistics, computer science, applied mathematics, bioinformatics, biostatistics, quantitative human genetics, quantitative epidemiology, systems biology or other fields of science relevant to computational cancer research. Interest across all applications of quantitative sciences in cancer research, including basic, population, and clinical sciences are welcome. The ideal candidate will have excellent technical and writing skills, knowledge of relevant programming languages, and an ability to collaborate across disciplines. U.S. citizenship or permanent residency required. Anticipated start date is August 2016.

Additional Information:

Interested applicants should send a letter of application indicating current and future research interests, a curriculum vitae, and names of three references. In your application, please reference “Training Grant in Quantitative Sciences for Cancer Research” and indicate any preliminary preferences for mentorship assignment. Application materials should be sent by email to 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 SPH can be found at: Career development and work/life balance.


Postdoctoral Research Position in Environmental Health

Description:

The Departments of Biostatistics and Environmental Health (Harvard T.H. Chan School of Public Health) are seeking candidates with PhD in Statistics/Biostatistics, or Environmental Health, for two two-year postdoctoral positions. One of the positions will be more focused on statistical methodologies, involving the development of statistical methods to estimate health effects associated with a large number of exposures, accounting for multiple potential confounders and interactions; and causal inference methods for exposure response functions. The second position will involve more data analysis focusing on estimating the health risks associated with short and long-term exposure to air pollution, weather, and non-chemical stressors.

Qualifications:

Doctoral degree in Statistics, Biostatistics, Environmental Health or a related field; familiarity in Bayesian modeling, Poisson regression, Cox proportional regression models are encouraged. Knowledge of SAS and R is also encouraged. Excellent communication and writing skills desired.

Additional Information:

Interested applicants please send CV and have at least two referees send recommendation letters to biostat_postdoc@hsph.harvard.edu. In your application, please reference “Environmental Health Postdoc.”

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 SPH can be found at: Career development and work/life balance.


Postdoctoral Research Position in Causal Inference Methodology

Description:

The Departments of Biostatistics (Harvard T.H. Chan School of Public Health) and Health Care Policy (Harvard Medical School) are seeking candidates with PhD in Statistics/Biostatistics for a two-year postdoctoral position beginning as soon as December 2015. Position involves the development of causal inference methodology with application in comparative effectiveness research in the context of big data. The successful candidate will collaborate with Francesca Dominici, Sharon-Lise Normand, Sherri Rose or Corwin Zigler.

Qualifications:

Doctoral degree in Statistics, Biostatistics, or a related field; familiarity in Bayesian modeling, instrumental variables approaches, and machine learning techniques are encouraged. Excellent communication and writing skills desired.

Additional Information:

Interested applicants please send CV and have at least two referees send recommendation letters to biostat_postdoc@hsph.harvard.edu. In your application, please reference “Causal Inference Postdoc.” We will be accepting applications until December 30, 2015 or the position is filled, whichever comes first.

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 SPH can be found at: Career development and work/life balance.


Short Term Postdoctoral Position in Neurostatistics

Description:

A short term Postdoctoral Research Fellow position in neurostatistics is available at Harvard T. H. Chan School of Public Health. This position involves developing statistical methods for analyzing neurologic disease studies, including several exciting Alzheimer’s disease studies. We seek an individual with strong interests in statistical methods, particularly survival analysis methods and biomarker analyses methods, and a strong interest in collaborative biomedical research. The work will involve both methodological research with department faculty and collaboration with clinical investigators.

Qualifications:

Ph.D. in statistics or biostatistics with 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 Rebecca Betensky at betensky@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 “Betensky Neurostats 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 T. H. Chan 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 SPH can be found at: Career development and work/life balance.