【简介】博士后招聘网整理分享“加拿大多伦多大学西奈山医院2020年招聘博士后职位（统计学与计算生物学方向）”，浏览查询更多博士后招聘计划请访问博士后招聘网。

加拿大多伦多大学西奈山医院2020年招聘博士后职位（统计学与计算生物学方向）

An opportunity is available for a Postdoctoral Research Fellow in the laboratory of Dr. Ken Croitoru, based at the Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital in Toronto, Ontario, Canada. The Croitoru laboratory (http://croitorulab.com/) is 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.

Available to the fellow will be 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 repository as part of 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 a knowledge base in statistics and computational biology. Advanced knowledge of statistics is required, with particular experience in the analysis of large omic datasets and predictive modeling.

Qualifications:

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

Quantitative 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 and shotgun metagenomic sequencing data analysis and related tools

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, as well as contact information for three references.

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