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, analysis, operation, and support of high performance computing (HPC) and data science research, software, tools and hardware resources. You will develop data algorithms and perform computations, statistical
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to keep accurate and organized records. * Knowledge of laboratory safety procedures for handling biohazard and chemical waste. * Experience with Word, Excel, PowerPoint, and statistical software is
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in this role encompass diverse tasks such as correspondence management, statistical analysis, database maintenance, and event coordination. In spearheading our administrative efforts, you’ll play a
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database programs, statistical programs including but not limited to: Microsoft Office suite-Word, Excel, Access. Skill in typing with accuracy and moderate speed. Ability to use mathematical skills
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
professional with: Advance skill on in Tableau, SQL, R, Python, Excel, SPSS, and PowerPoint 10+ years of experience in clinical data analytics, Statistics, and Quality Measures Highly advance
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progress/projects by using good follow through initiatives. Math skills sufficient to process reimbursement forms and read data from statistical outputs. Working knowledge of University policies, forms and
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families. Participate in interdisciplinary activities, comply with departmental standards regarding attendance, documentation, continuous quality improvement, statistics, departmental policies and procedures
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expression and proteomics data, implementing mathematical and statistical procedures, maintaining computer systems, and supporting various research projects. The Lab Assistant will also serve as a contact
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– $30.71 Hourly JOB QUALIFICATIONS Qualifications Required: Skill in the use of personal computers, word processing, data entry software applications including basic statistics (Excel/other statistical
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information from monthly/quarterly data collection into meeting agendas for ongoing discussion toward reporting. * Assist with supervision/guidance in basic data analysis using SPSS or other statistical