The Xavier lab is looking for a Computational Biologist to investigate the mechanisms of host microbiome interactions in health and disease. We are an interdisciplinary group with expertise in computational analysis, microbiology and immunology. The candidate for this project will be responsible for computational analysis of large multi-'omic datasets with the goal of identifying microbes, genes or microbial products that are relevant to human health. The ideal candidate should be broadly experienced with analyzing next generation sequencing data and will collaborate closely with other computational biologists and postdocs, for methods implementation, and with experimental team members, for validation of computational results. Prospective applicants should have made significant contributions to their area of study, as evidenced by a strong publication record. We are seeking creative and highly motivated individuals who want to work in a dynamic, multi-disciplinary research environment.
A Ph.D. in Computational Biology, Bioinformatics, or a related field
1-2 years postdoctoral experience in computational biology preferred
Proficiency in one or more statistical or scripting languages appropriate for scalable data analysis
Familiarity with functional genetic and/or genomic data, as indicated by publication record
Ability to clearly communicate scientific material and work collaboratively
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