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programming skills, with experience in R, Python or comparable scientific computing environments. · A record of rigorous research and peer-reviewed publication appropriate to career stage. · Ability to work
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Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably
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or related industries with significant research and development. Experience with data pipeline tools and platforms (e.g., Apache Airflow, AWS Glue, Talend, etc.). Proficiency in SQL, Python, and/or other
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combination of equivalent experience. Minimum five years. Demonstrated experience in infrastructure automation coding using scripting (Bash, Python, PowerShell or equivalent). Strong experience in maintaining
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the organization. Knowledge in data extraction and manipulation Technical experience with analysis and visualization tools (e.g. Excel, Power BI, Tableau, R, …) Proven experience with the usage of Python, SQL or DAX
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, Python, SQL and Markdown ● Proficiency in version control tool Git/Github ● Strong interests in human fMRI analysis ● Strong interpersonal, organizational, and verbal and written
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, spreadsheets, data visualization, and statistical or qualitative-analysis software. Experience with R, SPSS, SAS, Python, NVivo, Power BI, or similar tools is an asset. Familiarity with privacy, confidentiality
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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epidemiology and biostatistics. Advanced knowledge of R, Python, SAS or other coding language for data management and epidemiologic analyses. Advanced experience linking and working with provincial
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computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis. Proficiency in computational analyses, including running tools on the command line, python programming, R