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Recruitment Plan I. RECRUITMENT PLAN Posting Number: F002499 Academic Title: Lynn R. Goldman Endowed Professor of Environmental and Community Health Rank: Professor, Associate Professor
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analysis using advanced statistical procedures using statistical software (SAS and R) under supervision of senior statisticians. Performs data management (auditing, editing & analysis) and quality control
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Stata, Python, or R. Previous research experience conducting quantitative data analysis. Hiring Range $20.99 - $32.53 GW Staff Approach to Pay How is pay for new employees determined at GW? Healthcare
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analysis and/or use of data analysis software (including SPSS/Stata, R, Python, etc.). Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning
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. Full-time faculty also teach medical students and engage in scholarly activity. Minimum Qualifications: Applicants must be board-certified or board-eligible in Physical Medicine & Rehabilitation (PM&R
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databases and experience using analytics software such as Power BI or Tableau is preferred. Demonstrated knowledge of SAS or similar software (R, SPSS, Python) to perform data manipulation and data analytics
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, epidemiology, or related field. Excellent project coordination and organizational skills. Excellent verbal and written communication skills. Proficiency in data analysis using Stata or R. Experience living
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show
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George Washington University | Washington, District of Columbia | United States | about 2 months ago
research through statistical and data analysis tools such as R, Python, Stata, SPSS, and Tableau. Collaborate on collection development efforts to ensure resources meet the needs of business and economics
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Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Proficiency in data analysis and statistical techniques, including experience with software such as R, Python