16 data-mining positions at University of Utah

Data Scientist

datasets for statistical analysis. Interpret results from multiple healthcare data sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining

Program Assistant

critically, abstractly, and theoretically. Experience and/or interest in the following: geospatial analytics and visualizations, data mining, big data, machine learning, and healthcare strategy. Applicants not

Research Assistant/Analyst

tools like SQL, Python, R, Tableau, Excel, and Power BI are expected. Experience with machine learning and data mining techniques. Currently enrolled in an Undergraduate degree Special Instructions

Research Associate

faculty. Specific duties will include but not limited to collecting and organizing data and assisting in all facets of outcomes research for the division, sourcing and collecting references, database mining

Data Scientist

of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Responsibilities Designs, develops and implements the most valuable solutions

Pre-Award GCO IV

eight academic units: Atmospheric Sciences, Biology, Chemistry, Geology & Geophysics, Mathematics, Metallurgical Engineering, Mining Engineering, and Physics & Astronomy. The role will require project

Associate Development Director

Science & Engineering, Mining Engineering, Physics & Astronomy and the School of Biological Sciences. This position will report to the Director of Development, College of Science. The Associate Development

Assistant/Associate Professor for Mines and Earth Sciences

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Academic Advisor I

for over 3000 undergraduates in 8 departments across the newly merged College of Science and College of Mines and Earth Sciences. Our collaborative model provides structure for advisors to support students

Assoc Dir, Acct & Finance

data collection techniques 5. Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining 6. Designs, develops, implements and