51 Statistics "University of Strathclyde" research jobs at University of British Columbia
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or related field. Track record of publication related to eating disorders/mental health. Strong skills in statistical analysis Fluent in written and spoken English and demonstrated excellence in writing
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- Perform statistical analysis for clinical data and processed sequencing data - Automate data cleaning and processing workflows - Contribute to data management activities - Develop, improve, and maintain
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computer literacy, (documents, presentations, spreadsheets, database, statistics, analytics). Excellent organizational skills, as well as a high degree of motivation, enthusiasm and initiative. Flexible
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), webpage editing, and a statistics package (e.g. SPSS). Demonstrated knowledge of ethical considerations in clinical research including TCPS2. Demonstrated knowledge of mental health issues affecting
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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 statistical software (e.g., SAS, R, SPSS
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on the statistical analysis for multiple projects involving large scale databases from various cohorts, including but not limited to traumatic or hypoxic brain injury, spinal cord injury, Alzheimer’s disease and
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of the investigators. QUALIFICATIONS Completion of a PhD degree in an appropriate field that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical
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emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding of
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that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding
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editing duties. Ability to effectively use MS Word, Excel, Outlook, Internet searches at an advanced level; experience with REDCap and data analysis using statistical software (i.e., SAS, SLUS, R or STATA