An opportunity is available for a Postdoctoral Research Fellow in the laboratory of Drs. Sun-Ho Lee and Kenneth Croitoru, based at the Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital in Toronto, Ontario, Canada. Dr. Lee and the Croitoru laboratory (http://croitorulab.com/) are interested in understanding the molecular mechanisms behind genetic, environmental and microbial factors that contribute to the development and progression of Inflammatory Bowel Disease through the use of patient samples and in vitro models.
The post-doctoral fellow will have the opportunity to work with established investigators in a large international study of genetics and host-microbiome interaction with access to a very large biosample repositories such as the GEM project (http://www.gemproject.ca/). We are looking for a highly motivated scientist with a track record of creativity in developing experimental strategies and an advance knowledge base in biostatistics and computational biology. Advanced knowledge of statistics is required, with particular experience in the analysis of large omics datasets and predictive modeling. The candidate is expected to take advantage of the data generated from the GEM project, including microbiome, proteomic, metabolomic, genetic, questionnaires, serological data. In addition, new cutting-edge technologies are being used to generate novel omics dataset to explore novel hypothesis.
Ph.D. degree in Microbiology / Computational Biology / Statistics / Computer Science/ Data Science/ other related fields
Experience in analysis of large omic datasets
Programming experience using scripting languages such as Python or C++ or Perl and statistical tools such as R
Training with advanced understanding of probability and statistics
Experience with Linux-based high-performance computing environments (including SLURM or PBS) and/or cloud-based environments
Experience in machine learning / artificial intelligence and analysis of big data
Familiar with 16S sequencing, shotgun metagenomic sequencing, genotyping, proteomic, metabolomic, epidemiological analysis and related tools would be an asset
Must be a team player, versatile, flexible, and self-motivated with strong communication/organizational skills and attention to detail. The incumbent will work with an experienced and diverse team of scientists, clinical and translational scientist with expertise in bioinformatics, computational biology, statistics, cell biology, genetics, molecular biology, and microbiology
Evidence of scientific accomplishment via peer-reviewed publications
Mastery of spoken and written scientific English is a must
To apply, please include academic curriculum vitae, a brief description of research accomplishments and future interests (maximum 1 paragraph), as well as contact information for three references. Position will remain open until fulfilled.