Postdoctoral Opportunities

Applicants are welcome to apply for more than one position, but a separate application will be required for each position.

Research Associate
Postdoctoral Research Position in Cancer Genomics
Postdoctoral Research Position in Causal Inference Methodology
Postdoctoral Research Position in Computational Microbiome Analysis
Short Term Postdoctoral Position in Neurostatistics
Postdoctoral Research Positions in Computational Biology and Metagenomics
Postdoctoral Research Position in Cancer Computational Biology and Bioinformatics

 

Research Associate

Description:

The Huttenhower Research Group in the Department of Biostatistics at Harvard T.H. Chan School of Public Health is seeking a Research Associate to serve as a senior scientist, project manager, and lab director. The successful candidate will advise and assist students and postdoctoral fellows with research projects, data analysis and interpretation, experimental design, and project management. He or she will coordinate with collaborators outside the lab to drive new and existing projects, and will assist with authorship of manuscripts and grants, including lead projects as desired. The candidate will be responsible for analyzing and interpreting data, both independently and in collaboration with others, and for preparing and submitting manuscripts.

As director of the group’s wet lab facilities, the successful candidate will write and maintain lab safety and compliance documentation, supervise a technician, and assist with experimental design. He or she will also research and oversee the purchase of equipment and major supplies. Major experimental activities include high-throughput sequencing, requiring nucleic acid extraction and next generation library preparation, as well as microbial cell culture. In addition, the successful candidate will train and supervise other lab personnel in safety, procedures, and techniques. Finally, the successful candidate will design, plan, and conduct experiments in consultation with the PI, as well as overseeing IRB documentation in collaboration with the lab’s existing junior project manager.

Qualifications:

Candidates are required to have a doctorate degree in microbiology, molecular biology, or related field. Excellent attention to detail, record-keeping, writing, and communication skills are crucial.

Additional Information:

Please send applications via email to Nicole Leveseque at levesque@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 Cancer Genomics

Description:

One postdoctoral / staff scientist position in computational biology focused on cancer genomics is available at the Dana-Farber Cancer Institute / Harvard Medical School. The position will be jointly co-mentored by Dr. Rani George (Pediatric Oncology), Dr. Kwok-Kin Wong (Medical Oncology) and Dr. Guo-Cheng Yuan (Biostatistics and Computational Biology).

The successful applicant will develop computational approaches to analyze and integrate genomic data with the aim of elucidating systems-level gene regulatory mechanisms in development and disease, specifically cancer. Current projects include inference of gene regulatory networks, genome-wide chromatin state characterization, and genome-wide changes in gene transcription.

The candidate will develop computational methods for integrative analysis of gene expression, DNA sequence, and ChIPseq data, with the application to gain mechanistic insights into the effect of drug treatment in altering the transcription factor activities, epigenetic patterns, and pathway activities in cancer cells.

Qualifications:

The successful applicant should hold a doctoral degree or equivalent qualification in computational biology, biostatistics, 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 RNAseq and ChIPseq data is also required. Previous knowledge in cancer 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. Rani George (rani_george@dfci.harvard.edu) and Dr. G-C Yuan (gcyuan@jimmy.harvard.edu).

Applications from minority and female candidates are especially encouraged. Dana-Farber Cancer Institute is an AA/EOE.


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 September 2015. Position involves the development of causal inference methodology with application in comparative effectiveness research in the context of big data.

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 at least two recommendation letters to biostat_postdoc@hsph.harvard.edu. In your application, please reference “Causal Inference 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 Computational Microbiome Analysis

Description:

The Huttenhower lab in the Biostatistics Department of the Harvard T. H. Chan School of Public Health and Broad Institute is seeking to fill a bioinformatics postdoctoral research position. This position focuses on computational and bioinformatic skills and is accessible to anyone with a computational background and interest in developing new expertise in microbial community studies. It is funded by the Crohn’s and Colitis Foundation of America to study the gut microbiome in inflammatory bowel disease (Crohn’s disease and ulcerative colitis), and it is more broadly part of the CCFA Microbiome Initiative, which is focused on translating systems biological findings in the gut microbiome during disease into actionable preclinical pharmaceutical targets.

The successful candidate 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 CCFA Microbiome Initiative in order to prioritize candidate microbes and microbial biomolecules for experimental characterization. He or she will additionally be responsible for new computational methods development and implementation (in collaboration with lab software developers) and will work closely with biological collaborators Drs. Ramnik Xavier and Hera Vlamakis as part of the CCFA consortium.

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 (R and/or Python preferred); expertise in programming for biological data analysis; some familiarity with functional genetic and/or genomic data, as indicated by publication record, although microbial or microbial community analysis experience is not required; 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.

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.



Postdoctoral Research Positions in Computational Biology and Metagenomics

Description:

The Huttenhower lab in the Biostatistics Department of the Harvard T. H. Chan 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 SPH can be found at: 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.