postdoctoral fellow - cancer epigenetics/epigenomics

Employer
University of Toronto
Location
Toronto (City), Ontario (CA)
Salary
according to institutional guidelines
Posted
February 08 2016
Position Type
Full Time

Fully affiliated with the University of Toronto and home to members of the Faculties of Medicine, The Princess Margaret Cancer Centre is part of one of Canada's largest hospital-based research centers. As one of the top five cancer research institutes in North America The Princess Margaret Cancer Centre fosters a rich academic and collegial environment. Combining research excellence with state-of-the-art infrastructure, The Princess Margaret Cancer Centre is investing heavily in strategic research platforms and has developed research capacity in areas such as Epigenomics, Genomics, Proteomics, Clinical Technologies, and Clinical Studies to drive investigations into human biology and health care now and into the future.

As part of The Princess Margaret Cancer Centre Epigenomics program and affiliated with the Ontario Institute for Cancer Research (OICR), Dr. Mathieu Lupien is currently seeking applications for a post-doctoral fellow in wet laboratory and/or bioinformatics applied to functional cancer epigenomics. The work will focus on defining the role of the chromatin landscape (maps of epigenetic modifications, nucleosome position and open chromatin) on transcriptional regulation in cancer. The successful candidate will be involved in generating new data and/or in developing of novel algorithms and softwares for the integrative analyzes of ChIP-seq, ATAC-seq, RNA-seq, whole-genome-seq dataset, as well as single-cell assays (ATAC-seq and RNA-seq). Positions are currently available for research focus on prostate cancer and glioblastoma. More information on research interests and publications from the Lupien lab is available at: www.pmgenomics.ca/lupienlab

Candidates should have a strong background in computational biology, bioinformatics, biostatistics and/or in laboratory assays. The candidates should also hold a doctoral degree in a relevant field, be looking for a collaborative and dynamic environment, and have a track record of productivity and innovation. Prior experience generating or manipulating massively parallel sequencing datasets is an asset but not a requirement. The salary of this yearly renewable position will be established according to institutional guidelines.

Please forward current curriculum vitae including a publication list and names of three references to: mlupien@uhnres.utoronto.ca

We thank all applicants for applying, however, only those selected for an interview will be contacted.