Our research group has an exciting opportunity for a Postdoctoral Fellow (PDF) to undertake training and research opportunities in statistical genetics. The research focus will involve developing models for event history data to incorporate feature selection for high dimensional data in families who harbour major cancer-causing genes. This individual will be responsible for developing aspects of the model theory, and creating the associated statistical program code that implements it. Possible research topics include feature selection of additional genetic and non-genetic factors to improve risk estimation in high risk families, multivariate outcomes, and joint modelling of longitudinal factors and time to cancer diagnosis. Preparation of manuscripts and presentations is also expected.
This Post-Doctoral Fellowship will be located at the University of Calgary in Calgary, AB. Primary supervision will be by Dr. Karen Kopciuk, with additional supervision provided by Dr. Laurent Briollais (Tanenbaum-Lunenfeld Research Institute, Toronto, ON) and Dr. Yun-Hee Choi (The University of Western Ontario, London, ON). The biostatistics group
at the University of Calgary is diverse, active and collaborative (http://math.ucalgary.ca/
The successful candidate will have a Ph.D. in Statistics or Biostatistics (defended after March 31, 2012 and before September 2015) with research experience with event history modelling and/or longitudinal data analysis. Strong programming skills are essential, especially in the R language or machine languages such as C++ or FORTRAN. Human genetics knowledge is an asset but can be acquired in this position. Funding will be provided through a combination of our CIHR operating grant funding, undergraduate teaching and/or successful external fellowships from CANSSI or Alberta Innovates Health Solutions.
Applications – comprised of a current CV (including publications, graduate courses taken), research statement, samples published papers (if any) and contact information for three referees – should be sent to Dr. Karen Kopciuk (email@example.com). The position is available immediately and applications will be evaluated on an ongoing basis until the position is filled. Initial funding is for one year and up to an additional year based on acceptable performance and available funding. Benefits as well as funding to attend and present at scientific conferences is also provided.