45 Statistics positions at University of California, Los Angeles in United-states in United States
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. Statistician you will assist with data construction, data management, and statistical analysis. Your primary job duties include collaborating with staff or faculty on data management, data quality control
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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 statistical analysis while collaborating with esteemed staff and faculty. Your primary responsibilities will include: * Ensuring data quality * Designing study databases * Work alongside experts
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JOB DUTIES Description The Ambulatory Nursing Data Analytics Manager is responsible for coordinating and supporting Ambulatory Nursing operational and clinical improvements and providing statistical
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JOB DUTIES Description The Semel Institute is seeking to hire a full time Senior Statistician to assist with database construction, data management and statistical analysis. You will collaborate
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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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microscopy as well as full active involvement in the data processing, statistical analysis and manuscript development. Training will be provided in specific techniques, but some basic research laboratory
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science, data science, statistics, or related field, with computer, computational, and/or data management experience. Knowledge of basic and multivariate statistics. Knowledge of data science processes
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JOB DUTIES Description Unlock the potential of data with us! As a Research Data Programmer, you’ll work closely with Dr. Rhee, conducting intermediate-level, sophisticated statistical analyses using
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include: data entry; management and calculations using computerized database; developing quality metrics, basic statistical analyses; reviewing data for quality, including accuracy and completeness