Computational Post-Doctoral Fellow applied to single-cell epigenomics and 3D genomes in cancer

Toronto (City), Ontario (CA)
The salary of this yearly renewable position will be established according to institutional guidelin
April 04 2019
Position Type
Full Time
Organization Type
Job Type

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 computational post-doctoral fellow applied to functional epigenomics. The work will focus on defining the interplay between epigenomics, metabolomics and transcriptional regulation in cancer. The successful candidate will be involved in the development of novel algorithms and software for the integrative analyzes of various genome-wide datasets from epigenetic/chromatin assays (ChIP-seq, ATAC-seq, RNA-seq, etc), three dimensional organization of genomes (HiC) and single cell assays (scRNA-seq and scATAC-seq). More information on research interests and publications from the Lupien lab is available at: Candidates should have a strong background in computational biology, bioinformatics or biostatistics, 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 in metabolism, epigenetics and/or transcriptional regulation. Prior experience manipulating massively parallel sequencing data 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: We thank all applicants for applying, however, only those selected for an interview will be contacted.