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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 15 days ago
, including data manipulation, descriptive analytics, basic statistical analysis, and data visualization. Experience using common analytics tools and programming environments such as Python, R, Excel, SQL
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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
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$104,000 - $130,000. Requirements Candidates must be experienced in teaching at the postsecondary level, must have experience in Data Analysis, and must hold a PhD in Computer Science or a closely related
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Specialist will design and implement advanced data processing workflows and apply statistical and visualization techniques to support the interpretation of biological data for users of the C3G core facility
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transcriptomic/proteomic data analysis, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing
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, programming, and documentation skills. Demonstrated experience in data analysis and system configuration. Proficient with web-based applications and programming tools. Ability to learn new skills quickly
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, including analysis of network and survey data and textual and visual data. Support grant writing. QUALIFICATIONS Completed a PhD in a relevant discipline (e.g., public health, sociology, nursing, sociology
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Contribute analytic insights in preparing presentations for policy and employer audiences Perform other duties as required Data Analytics & Research Lead analysis of provincial nursing workforce supply, IEN
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collaborative team environment. Ability to maintain accuracy and attention to detail. Ability to develop and work with large clinical or research databases, including data cleaning and data analysis using
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methods, including Stan and INLA. Excellent data practice and proven track record in data visualization. Fluency in R and keras. The successful applicant will be expected to participate in the Department