Prior Teaching Experience:
Successful teaching related to field at college or university level
Required competence, capability, skill and ability related to course content:
Applicants should have prior teaching, including GTA appointments, and research experience in areas relevant to this course. This course provides students with an introduction to current and emerging methods used to generate and analyze genomic data. For Module #2: The applicant will have proven expertise and research experience in primary bioinformatics tools used in eukaryote sequence analysis (examples include read mapping to a reference genome, quality control, gene functional analysis on a genomic scale, comparative genomics analysis) and knowledge & experience in analyzing genes and genomes (including NCBI tools and genome browsers). A clear understanding of current techniques for the generation and analysis of data is needed, along with the knowledge of emerging methods to address limitations in the field. Candidates will have experience in using a Unix environment to filter raw read data and perform quality control, sequence mapping to a reference genome, and analysis of sequence and splice variants. The applicant must also have experience working with Compute Canada resources.