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Field
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) using SAS/R software such as R • Maintaining documentation of datasets and analyses • Writing up results for academic publications / presentations • Preparing tables and figures • Other duties as assigned
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team members. Contribute to maintaining and improving research software, including updating open-source repositories where applicable. Carry out other duties, commensurate with the grade and remit
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knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software, processes and new technologies is a plus
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conducting literature reviews, and a solid understanding of scientific research methods Technical Competence: Demonstrates familiarity with quantitative and qualitative data analysis software and digital tools
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required. Intermediate proficiency level required in MS Office software, including Word, Excel, PowerPoint, Outlook, Adobe products, with a typing speed of 60 words per minute. Familiarity with Web
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software, research methods, and work routines. Ability to exercise appropriate tact, discretion and confidentiality in all matters. Ability to exercise sound judgement, responsibility, and maintain
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Abilities Knowledge of survey and other quantitative instrument construction and administration techniques. Experience with statistical analysis software. Experience with qualitative analysis software
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coupling between researchers, software engineers, clinicians, methodologists and end users/patients, drawing on strength from each to solve real-world problems, and how this feeds directly into our teaching
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: Technical Competencies In-depth knowledge of project management theory, procedures, and practices, and the use of project management software tools. Knowledge of the operational context of a research center
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confidentiality Technical proficiency using various word processing software, spreadsheet programs, presentation software, data bases and Internet Knowledge user of REDCap, MS Teams, and Microsoft Office