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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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Python and/or TypeScript. We are otherwise fairly language-agnostic and like to see experience across other languages (e.g. Rust). Experience with version control (Git) and CI/CD pipelines. Fluency with
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using languages such as Python, R, and Bash. · Experience developing, implementing, and optimizing computational pipelines and bioinformatics tools for large-scale genomic datasets. · Strong
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applications, extending the tools and technologies already in place using JavaScript (React/TypeScript), Python, PostgreSQL, Docker and more. Short development cycles will involve small but frequent releases
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intermediate-level statistical analyses in R and/or Python (; maintains code repositories to ensure reproducibility. Writes/drafts sections of scientific manuscripts, reports, and policy briefs. Contributes
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
data in Python, or other analytics tools Minimum two years’ experience maintaining databases and ensuring data accuracy, integrity, consistency, and compliance with data governance standards Demonstrated
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dashboard development, or clinical data tool design. Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge
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, or electromagnetic sensing; Hands-on experience with RF test instrumentation (spectrum analyzers, vector signal analyzers, or equivalent); Experience with signal processing programming in Python, MATLAB, or C/C
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literature reviews, data analysis and synthesis Proficiency in Python and ability to work in Microsoft Office suite (Excel, Word, PowerPoint); Strong organizational, interpersonal, oral and written
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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