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, quantitative psychology or a related field at the time of appointment. Experience working with complex survey data. Highly proficient in R, SAS, and/or STATA. Demonstrated ability to work in a highly
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, assignments, and/or projects using Excel, Tableau, and R with applications in many different social science areas. QMSS 301: Quantitative Social Science Analysis and Big Data is a 4-credit course with a lecture
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. Chronicle data management and analysis steps and annotate program files to ensure full transparency and reproducibility as part of an analysis pipeline. This includes the creation of specialized R-packages
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project. Must be comfortable working as a co-investigator within a larger research network. Coding and analysis experience with SAS, SPSS, R, Stata programming languages. Desired Qualifications* Experience
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, update and analyze the budget dashboard monthly, prepare end-of-year accounts receivable (A/R) adjustments, calculate and reconcile monthly revenue, credit card revenue reconciliation, grants submission
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of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, MySQL, Jupyter Notebooks) Excellent verbal and written communication skills including the ability to communicate
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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using SAS, STATA, or R is required. Candidates for this position must be driven, detail-oriented, with an intellectual curiosity and desire to continue learning, as well as having the ability to work
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directly related to the responsibilities specified Proficiency with Oracle databases, PL/SQL, or MS SQL Server T-SQL Knowledge of Tableau, SAS, R, a plus Data Architect Senior BA/BS in Computer Science
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or a related field, along with proficiency in R, Java, and Python programming. Demonstrated practical experience with the analysis of proteomics data using FragPipe and FragPipe-Analyst platforms is