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findings through annual reports, peer-reviewed manuscripts, and national/international conferences apply a comprehensive understanding of statistical methodologies using R, Stata, SAS, and other analytical
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, pharmacoepidemiology, clinical pharmacology, public health, or a related field Experience working with large health datasets and statistical software (e.g., R, SAS, STATA) Strong publication and grant record in clinical
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and professional partners and stakeholders a developing research profile in discipline or area of expertise proven experience supervising and mentoring others highly proficient in use of Stata, R, SPSS
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literature searches using relevant databases, developing study protocols, preparing surveys/experiments, managing and cleaning datasets, data analysis using R, data visualisation, and reproducible workflows
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS