David Bickel, statistician

Reliable interpretation of genomic and genetic information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statomics Lab of the Ottawa Institute of Systems Biology; see http://www.statomics.com for details. The Statomics Lab seeks a postdoctoral fellow who will develop and apply novel methods of statistical inference to attack current problems in analyzing data from genome-wide association studies and related DNA sequence data. The successful candidate will conduct that research with guidance from David Bickel by building on modern empirical Bayes methods and/or higher-order asymptotics. The stipend will be CA$40,000/year, but as much as CA$50,000/year is possible for a candidate with exceptional qualifications. The fellowship is up to two years in duration conditional on satisfactory performance evaluations.

A solid foundation in statistical theory is essential, as is the ability to quickly develop reliable software implementing the statistical methods to be developed. Self-motivation, excellent communication skills, and reception of a PhD or equivalent doctorate in statistical genetics, statistics, bioinformatics, or a closely related field are also absolutely necessary. In addition, experience in empirical Bayes methodology, higher-order asymptotics (via likelihood or bootstrapping), or statistical genetics is highly desirable.

To apply, send a cover letter that summarizes your qualifications, a CV in PDF format, and contact information of three references to dbickel@uottawa.ca. Please write “Postdoctoral Position” and the year of your graduation or anticipated graduation in the subject field of the message. All applicants are thanked in advance; only those selected for further consideration will receive a response.