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Postdoctoral training in Bayesian genomics


Scientific breakthroughs from genome-sequencing projects brought the realization that reliable interpretation of the resulting information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statistical Inference and Computation in Genomics Laboratory of the Ottawa Institute of Systems Biology. The Statomics Lab (http://www.statomics.com) seeks a postdoctoral fellow who will collaboratively develop and apply Bayesian methods of statistical inference to attack current problems in analyzing transcriptomics, proteomics, metabolomics, lipidomics, and/or genome-wide association data.

A thorough knowledge of Bayesian theory is essential, as is the ability to quickly develop reliable software for approximating posterior distributions using complex models. Strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in biostatistics, 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: expertise in one or more methods of frequentist inference; a working knowledge of biology; familiarly with R, S-PLUS, Mathematica, 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 Genomics” and the year of your graduation or anticipated graduation in the subject field of the message. In the message body, concisely present evidence that you meet each requirement for the position and describe your most significant papers and software packages with summaries of how you contributed to them. All applicants are thanked in advance; only those selected for further consideration will receive a response.

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