Post-doctoral positions in Bioinformatics for Functional Genomics

Dalhousie University
Canada NS Halifax


A postdoctoral position is available in the Laboratory of integrative Multi-Omics Research in Pharmacogenomics (iMORPh) in the Faculty of Medicine, Department of Pharmacology at Dalhousie University in Halifax, NS CANADA. Research activities in our laboratory are divided into three pillars: (a) fundamental bioinformatics, (b) translational bioinformatics and, (c) empirical molecular biology. We are seeking individuals in pillars (a) and (b). They will be expected to work on developing or implementing our integrative computational tools aimed at characterizing pathophysiological multi-omics aberrations, predictive biomarkers, and therapeutic targets from pediatric cancer datasets.
The candidates will receive multidisciplinary training on computational genomics, integrative bioinformatics, molecular cancer biology and, translational research in addition to project leadership that will prepare them for the next steps in their career. Our laboratory operates on non-negotiable principles of inclusion and collegiality.


The candidate must hold an earned Ph.D. degree in the Biomedical or Computational Sciences. Preference will be given to highly motivated candidates with an outstanding publication record in cancer research, and those with established expertise in computational genomics, bioinformatics, or biostatistics.
The research topics for this position will include: 1) development of novel mathematical, statistical and/or machine learning models, as well as bioinformatics tools to predict therapeutic outcome following targeted and immune-modulating therapies on the basis of NGS data at bulk and single-cell resolutions, 2) performing integrative analysis of NGS datasets with drug sensitivity datasets to identify predictive biomarkers for targeted and/or immune-modulating therapies, 3) cataloging the functional pathophysiological genetic alterations in pediatric cancer through integrative analysis of whole-genome, epigenome, transcriptome and proteome datasets.

Start date

As soon as possible

How to Apply

To apply, please send your CV, cover letter, and the contact information of 3 referees to:


Tobias Karakach