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. · Competency in statistical software applications (e.g., R, SAS, STATA). · Ability to conceptualize and construct tables and graphs. · Working knowledge of statistical and/or medical terminology
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insurance datasets) is highly desirable. (Required) Fluency in data management and statistical programming languages (SAS, SQL, R, STATA, or Python). (Required) Solid understanding of pharmacoepidemiologic
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Demonstrated technical skills and knowledge to effectively operate HVAC-R systems, low- and highpressure boilers and all related equipment by using manual and computer control programs, including
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are seeking a highly motivated Data Manager and Lab Technician with a background in Computational and Systems Biology. Ideal candidates will have experience in statistical programming (R and Python), and a
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gained in school counts toward this requirement. (Required) Mastery of data analysis and data visualization in R or Stata. (Required) Ability to communicate complex information in a clear and concise
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advanced skilled in, software and web apps (e.g., Asana, Slack, Calendly, Qualtrics, Alchemer, Amazon Web Services, Alteryx, R, Deedose, Tableau) as needed with minimal hands-on training (Required) Fluency
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for managing large, complex databases; developing data cleaning and management procedures; and conducting advanced statistical programming and analysis using R. The role includes creating analytic datasets
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, medical residents, undergrad students and other lab personnel. Demonstrated excellent written and oral communication skills Demonstrated proficiency in statistical analyses using R computing environment
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smelt. Experience with water quality equipment and testing methods; temperature, salinity, Redox, NH3/NH4, NO2, NO3, turbidity, etc. Knowledge of statistical analysis using R statistical programming
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administration of evaluation and research activities The Research Associate operates in a moderately complex technical environment using several software products (e.g., Tableau, Alteryx, R, Stata, Knime, Python