Bioinformatics Analyst

Under the direction of the Bioinformatics Manager, the Bioinformatics Analyst will be a member of the services team at Canadian Centre for Computational Genomics (C3G), a bioinformatics platform hosted at the McGill Genome Centre (MGC). The chosen candidate will perform advanced bioinformatics analyses that enable the interpretation of data generated by various biological assays, in addition to supporting the development of analysis pipelines at the platform. Working closely with other members of the McGill Genome Centre, the chosen candidate will be exposed to a wide variety of novel sequencing technologies, bioinformatics approaches and state-of-the-art computing resources in a facility dedicated to high-throughput sequencing and large-scale genomic studies.

• Perform customized bioinformatics analysis work, and prepare related visualizations and reports in an accurate and timely manner.
• Estimate timelines and periodically report on progress to users and management.
• Assist in the design of scientific experiments and computational analysis plans.
• Provide students with support and guidance on appropriate analytical approaches, and tools to apply on how to interpret their output.
• Leverage the existing literature to identify previously successful analytical workflows and stay informed of the most relevant bioinformatics practices.
• Participate in the authoring of scientific publications.
• Manage several analysis projects at the same time.
• Accurately track and report time spent on different assignments.
• Contribute to problem-solving discussions with colleagues.
• Provide input for the update and extension of the bioinformatics tools and software methods used or developed at the C3G.
• On a regular basis, give oral presentations on the progress of projects.
• Teach at training events organized by the platform, provide help desk consultations and contribute to other platform outreach or promotional activities.

Two (2) years of experience in bioinformatics or genomics research;

Bachelor or Master’s degree in related field

• Prior experience in analyzing and interpreting results from next-generation sequencing assays is needed.
• Demonstrated experience with the R language for biological data analysis and visualization is a requirement.
• Basic Unix shell scripting skills are essential.
• Experience running jobs in an HPC environment is required.
• Understanding of the basics of molecular biology is required.
• Experience with analyzing data from bulk and single-cell RNA-seq is highly desirable.
• Familiarity with analyzing data from WGS or epigenomics assays such as ATAC-seq ChIP-seq is an asset.
• Knowledge of immunology and genetics is an asset.
• A good understanding of statistics and key concepts of experimental design is a must.
• The ability to understand and write basic Python code is an asset.
• Familiarity with workflow management systems such as Nextflow is an asset.
• Demonstrated past experience in managing priorities and setting realistic expectations is required.
• Experience in lecturing at workshops and tutoring students is desirable.
• The ability to write and speak effectively using the English language is required. Spoken and written French is an asset.