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area including primary care research. The position requires knowledge of pragmatic biostatistics and high-level skills in statistical programming and analysis, as well as expertise in research
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a skilled Data Analyst to support gynecologic cancer health equity research through data management, statistical analysis, and collaboration on multidisciplinary research projects. Data Analyst
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two statistical packages (e.g., SPSS, SAS, AMOS, MPlus, R) common to the social sciences. Excellent verbal and written communication skills. Experience with growth modeling, hierachical linear modeling
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in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy, JavaScript, etc.) Track record in publishing
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manipulation software equivalent (Access, R, Tableau). Advanced Proficiency in data entry and manipulation. Basic Mastery of Microsoft Word and Microsoft Powerpoint Knowledge of statistical software such as SAS
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at the New Jersey Medical School. Conducts research in gynecologic cancer health equity with emphasis on statistical analysis and data management. Supports the Principal Investigator with data analysis, study
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Analyst to support gynecologic cancer health equity research through data management, statistical analysis, and collaboration on multidisciplinary research projects. Data Analyst to support health equity
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real-time monitoring and statistics. Candidates must have a Ph.D. in Clinical Psychology or a related field by the appointment start date. We will prioritize the recruitment of candidates who demonstrate
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health equity with emphasis on statistical analysis and data management. Supports the Principal Investigator with data analysis, study design, and data dissemination. Among the key duties of this position
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Minimum Education and Experience A master’s degree in statistics, economics, public policy or related field, or an equivalent combination of education and experience. A minimum of three (3) years