Duties: The candidate is responsible for analyzing and mining multi-omics data using computational techniques, such as deep learning, generalized linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics data will include longitudinal metagenomics sequencing data, genome-wide association (GWAS) data, proteomics data, and metabolomics data. The candidate is expected to publish their findings in peer-reviewed journals
Requirements: Ph.D; Skills in Bioinformatics, deep learning, data science, -omics

Duties: The Lessard lab is seeking a Post-doctoral Fellow with experience in computational sciences to join our research team. Our research investigates the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjögren’s syndrome, systemic lupus erythematosus (SLE), and other autoimmune diseases
Requirements: Ph.D./M.D. in bioinformatics is preferred