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management and analysis - (Optional/Preferred) learn and contribute to statistical analysis using basic programming tools (R or Python) Qualifications: MUST be enrolled at McGill University in a B.Sc. program
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and tools to reduce manual workload (e.g., automated queries, QC reports, and interactive dashboards in PowerBI or Python/R). Collaboration, Training & Research Support Partner with investigators
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data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic
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; · have extensive Python, R, SQL, and other applicable programming experience. The successful application may: · Be able to communicate effectively in French Specific duties: Under the Direction
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preparation, long read (PacBio, Nanopore) library preparation, RNA-seq, single cell RNA-seq, genome editing, etc.) Demonstrated basic computer programming skills (e.g. ability to use R, Python or other
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Compile, organize, and manage large multi-faceted datasets and metadata Conduct statistical analyses, including development of new code and adapting existing code in R and/or python Contribute
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analysis aspects, the following skills would be considered assets that would accelerate transition into this role: Experience with MRI or other medical imaging modalities Experience with Matlab, Python, C
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orchestration systems. Support Systems: DNS, DHCP, Windows, MAC, UNIX, XML. Scripting: Python, Perl, or Shell. Routing and Switching: BGP, BGP/MPLS, policy routing, redistribution, multicast; IPv4 and IPv6
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, preferably in Information Systems, is a plus. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same
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. Qualifications: Candidates must be enrolled in a graduate program within the Department of Human Genetics, or in another graduate program at McGill University, for the Winter 2026 term. Proficiency in python