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strong proficiency in R programming, experience managing and analyzing large-scale datasets (e.g., EHR), and a commitment to producing accurate, reproducible code. A strong interest in continuously
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strong proficiency in R programming, experience managing and analyzing large-scale datasets (e.g., EHR), and a commitment to producing accurate, reproducible code. A strong interest in continuously
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requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala
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, Stata, or R) to improve quality and efficiency of life science projects. May respond to questions from regulatory authorities on statistical issues. Requires basic skill set and proficiency. Conducts work
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, performing statistical programming (SAS or R), and communicating analysis results in both oral and written form. The internships will begin early in Summer 2026, working 20 hours/week throughout the summer
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statistical language (such as SAS or R), and familiarity with relational databases and large-scale data systems. Attention to detail, the ability to critically think through complex analyses, and a
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statistical language (such as SAS or R), and familiarity with relational databases and large-scale data systems. Attention to detail, the ability to critically think through complex analyses, and a
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Target Characteristics: Broad grasp of modern science techniques and approaches deriving. Strong understanding of SQL, light understanding of R or Python helpful. Analytical, creative, perceptive
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; Parks, Recreation, and Tourism; or related fields. Proficiency in data management and visualization tools (e.g., Excel, Power BI, R, SPSS, or Stata). Mixed-methods research experience (qualitative and
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qualitative data. Proficiency in data management and visualization tools (e.g., Excel, Power BI, R, or Python). Type Benefited Staff Special Instructions Summary Additional Information The University of Utah