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management, and comprehensive statistical analysis. As a key collaborator, you will liaise with staff and faculty members, offering expertise in data management, quality control, statistical modeling, and the
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of motor function following spinal cord injury (SCI). Qualified candidate should have background in the scientific method, data analysis, and statistics. The individual will assist and coordinate human
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management, and statistical analysis. A key aspect of this role involves collaborating closely with senior-level staff or faculty members on various aspects of data management, including quality control
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problems is required * Ability to analyze research findings and prepare clear, concise and accurate technical/statistical reports is required * Experience preparing data and scientific writing
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information for the UM Manager and Medical Director and regularly meet with them for clinical guidance in resolving cases. You will also document appeals in the tracking system and maintain relevant statistical
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purchasing and statistical documents. Ability to use a 10-key calculator
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
, advanced Excel skills, and familiarity with Tableau to customize and join complex data sets for large scale analyses, programs, and projects * Prior education and experience working with statistical data
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
of accurate and complete financial and statistical information * Delegate assignments to subordinate managers, supervisors, and staff * Develop, modify, and execute policies and processes * Manage the
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
managing correspondence and preparing data for statistical analysis to maintaining updated faculty bios and curriculum vitae, your attention to detail will be paramount. Additionally, you’ll excel in
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* · Understand and interpret financial and statistical data * · Working knowledge of front-end process and reception requirements * · Working knowledge of logistics and distribution principles