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BACKGROUND

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 Harvard School of Public Health, 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.

RESPONSIBILITIES

Analysis of multi 'omic data describing the human microbiome in colorectal cancer, particularly as linked to nutrition in the Nurse's Health Study (NHS) cohort and to CRC onset in Lynch syndrome. The successful candidate will be responsible for the computational biology and overall analysis of longitudinal metagenomic and metatranscriptomic data describing CRC and diet in 250 NHS women and 150 Lynch syndrome subjects. This STARR Consortium funded project will also include analysis of the microbiome of the murine tumor environment to assess the effects of dietary nutrients on CRC tumorigenesis and progression.

Computational and biological analysis of colorectal cancer microbiome

REQUIREMENTS

PhD in Computer Science, Statistics, Biostatistics, Bioinformatics, Biology, or a related field
Proficiency in one or more statistical or scripting languages, such as Matlab, R, Python, and/or Perl, 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

LOCALE

Cambridge, MA, USA

HOW TO APPLY

Please visit: https://www2.apply2jobs.com/BroadInstitute/ProfExt/index.cfm?fuseaction=mExternal.showJob&RID=1279&CurrentPage=1

DEADLINE

ASAP

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