Post-doctoral position in Statistical Genomics and Human Disease

McGill University and Genome Québec Innovation Centre
Job Location
740 Dr. Penfield
McGill University and Genome Québec Innovation Centre
Montreal, QC H3v0G1
Job Description


The McGill University and Genome Québec Innovation Centre in Montreal, Canada, is seeking a post-doctoral fellow in statistical genetics. The incumbent should have a strong interest in analyzing large genetic and other genomics datasets to uncover the genetic basis of human disease. Areas of focus could include autoimmunity, inflammatory disease, metabolic disease, cancer, cardiovascular disease, neurology, and pain.

The appointment is for two years initially with the possibility to renew for two additional years. We seek a highly motivated, team-oriented individual with good organizational, interpersonal, and communications skills to tackle challenges in analysis of next-generation sequencing data.


The position is located at McGill University and Genome Québec Innovation Centre (Montreal, Canada), a world-class research facility for genomics and bioinformatics located on McGill University’s main campus. The facility holds a number of high-throughput sequencing technology platforms, automated laboratory processes, and large-scale computing supporting an array of genome-wide mapping techniques.

The Centre team has internationally renowned expertise in genetic epidemiology and statistical genetics and is involved in large-scale genomic studies in the context of international initiatives and consortia.



PhD in a relevant subject (e.g. statistical genetics, computer sciences, bioinformatics, biostatistics, statistics or genetic epidemiology)

Experience in managing and analyzing large genetic datasets.

A firm ground in statistical and computational methods relevant to the analysis of such data

Preferably knowledge of other relevant subjects related to the project including, epidemiology and genetics of complex and rare diseases

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