[Next-Generation Sequencing Book]
  • [Photo] Curtis Huttenhower • October 26, 2013

    DESCRIPTION

    The Huttenhower lab in the Biostatistics Department of the Harvard School of Public Health is seeking to fill three bioinformatics postdoctoral research positions:
    • Analysis of multi'omic data describing the human microbiome in inflammatory bowel disease. The successful candidate will be appointed through the Broad Institute and co-advised jointly with Dr. Ramnik Xavier's lab, and he or she will be responsible for computational aspects of the Inflammatory Bowel Disease Multi'omics Database (IBDMDB). This NIH-funded Center will generate longitudinal 16S, metagenomic, metatranscriptomic, metabolomic, and metaproteomic data for new onset and established IBD patients as a follow-up to the Human Microbiome Project.
    • 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.
    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.

    REQUIREMENTS

    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.

    HOW TO APPLY

    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[at]hsph.harvard.edu AND to biostat_postdoc[at]hsph.harvard.edu.

Discussion forums: Opportunity: Postdoctoral Research Positions in Computational Biology and Metagenomics @ Harvard School of Public Health -- Boston, MA (US)

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