21 biostatistics positions at University of California, San Francisco in United States
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Epidemiology & Biostatistics Full Time 78450BR Job Summary The research data analyst will work closely with the principal investigator and key implementing partners, including the University
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Epidemiology & Biostatistics Part Time 78520BR Job Summary Applies knowledge about curriculum, requirements and educational activities to coordinate professional health education programs
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of blindness worldwide through research and teaching focused on infectious and inflammatory eye disease. Required Qualifications Master’s degree in epidemiology or biostatistics/statistics, global health
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analysis (i.e. biostatistics, mathematics, computer science, statistics) or related field; or equivalent experience/training • Working skills in statistical analysis and experience with statistical
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Epidemiology & Biostatistics Full Time 77685BR Job Summary Applies professional concepts to conduct analytical studies or projects of moderate scope and complexity to address a variety of policy
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by the position; and/or an equivalent combination of education and experience. Specific demonstrated undergraduate coursework experience in Biostatistics, Data Science, Statistical Linear Models
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neurophysiology data (e.g. EEG, LFPs, MEG) would be strong bonus (for some positions). Experience with data management software and procedures (for some positions) Familiarity with basic biostatistics, data
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explored in the laboratory setting. The candidate is expected to assist with data presentations for laboratory meetings and with the generation of scientific manuscripts. Biostatistics and bioinformatics
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Epidemiology & Biostatistics Full Time 76709BR Job Summary The incumbent will be responsible for the development, administration and implementation of three research programs, two UCSF funded
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learners and a faculty member of the UCSF Department of Epidemiology and Biostatistics. The team has extensive experience with machine learning, artificial intelligence, informatics, biostatistics