Aging, frailty and the microbiome
Location: Beiko lab, Faculty of Computer Science, Dalhousie University Halifax, Nova Scotia, Canada
Description: We are seeking a postdoctoral fellow to carry out analysis of microbial data as part of a series of studies on aging, frailty and the microbiome. The project is a large collaboration that includes clinical and model organism components, as well as a significant amount of statistical and computational tool development to help with the interpretation of taxonomic and functional aspects of the microbiome.
The postdoc will take a leadership role in the design of microbiome sampling experiments, and the analysis of large sequence datasets that will be collected in concert with information about health and social status. The postdoc will be charged with the interpretation of data, with development and validation of new analytical tools if necessary.
Applicants must possess a PhD in a relevant discipline, with experience in metagenome data analysis and an understanding of the key issues and relevant tools in the field. An understanding of statistics is essential. Experience with DNA and RNA extraction and sequencing is useful but not essential.
The position is funded for two years.
To apply for the position, please submit a .PDF file consisting of a one-page cover letter describing your relevant experience and interests, a CV, and the names of at least two references, to Robert Beiko (email@example.com).