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Field
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organizational and documentation skills Working knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software
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Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please
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and working with research data using relevant methods and software (e.g., SPSS, RStudio, NVivo). Reviewing and summarising academic literature. Helping to draft research papers and preparing data
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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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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) 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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independently as needed. Ability to maintain confidentiality when dealing with highly sensitive information. Knowledge of PC operations and specialized software programs, such as PantherSoft and Salesforce
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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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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