Research Assistant 2

McGill University • Montreal, QC

1d • CA$32 • Hybrid

About The Position

The Zandee lab is seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and neurodegeneration. The RA will work closely with Dr. Stephanie Zande, lab members, and external collaborators to process, analyze, and interpret large-scale transcriptomic, single-cell, and spatial omics datasets.

Requirements

• MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in R and/or Python; experience with shell scripting.
• Hands-on experience with sc/snRNA-seq analysis tools (e.g., Seurat, Scanpy, Cell Ranger).
• Familiarity with high-performance computing environments and job scheduling systems.
• Knowledge of Git/GitHub, version control, and reproducible research practices.
• Excellent organizational and communication skills; ability to work independently and in teams.
• Authorized to work in Canada and willing to work in the province of Quebec.
• English communication skills (verbal and written) at level 3 on a scale of 0-4.

Nice To Haves

• Interest in neuroscience, immunology, or multi-omics data integration is a plus.

Responsibilities

• Perform quality control, alignment, and quantification of bulk and single-nucleus RNA-seq datasets.
• Conduct differential expression, clustering, trajectory inference, cell type annotation, and pathway enrichment analyses.
• Develop and maintain reproducible and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts).
• Automate common data processing workflows in bash, R, or Python.
• Maintain version control using GitHub and contribute to internal documentation.
• Work closely with lab members to provide analytical support and interpret results.
• Generate figures and summaries for presentations, publications, and grant applications.
• Organize and back up sequencing data and analysis results using lab-approved systems.
• Ensure adherence to data security and compliance protocols.

Benefits

• Opportunities for co-authorship on high-impact publications and involvement in grant writing and collaborations.
• Flexible work arrangements (e.g., hybrid or remote-friendly) can be discussed depending on project needs.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level