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Bayesian Postdoc in Functional Genomics

24 June 2007

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The new Statistical Machine Learning in Functional Genomics (Statomics) Lab of the Ottawa Institute of Systems Biology seeks a postdoctoral researcher who will, in collaboration with University of Ottawa faculty, develop and apply statistical methods to solve current problems in analyzing and integrating gene-expression, proteomics, metabolomics, SNP, ChIP-chip, and/or clinical data. At present, the lab is targeting the inference of regulatory networks from multiple sources of information and improvements in the repeatability of microarray results and will attack similar statistical challenges of importance to functional genomics. The researcher’s background will complement that of any students and any postdoctoral researcher to be recruited to the Statomics Lab from the machine learning and bioinformatics communities, creating an interdisciplinary environment for high impact on the biological sciences as well as on statistics.

Scientific creativity and a thorough knowledge of Bayesian statistical theory and methods of posterior computation such as MCMC are essential, as is the demonstrated ability to quickly and accurately implement such methods in software. Strong initiative, excellent communication skills, and reception of a PhD in statistics or a closely related field within the four years prior to the start date are also absolutely necessary. The following qualities are desirable but not required: knowledge of biology; familiarly with BUGS, R, S-PLUS, C, Fortran, and/or LaTeX; experience in a UNIX or Linux environment.

To apply, send a PDF CV that has contact information of three references to dbickel0@uottawa.ca (without the zero), with “Bayesian postdoc” and the year of your graduation or anticipated graduation in the Subject line of the message; in the plaintext message body, concisely include evidence that you meet each requirement for the position and a description of your most significant papers and software packages with an explanation of your own contributions to them. Only those applicants selected for further consideration will receive a response.