Posted:19 hours ago|
Platform:
Work from Office
Full Time
Role & responsibilities Programming: Proficiency in both SAS and R languages, including syntax, data manipulation techniques, and statistical modeling. Data Analysis: Experience with data extraction from various sources, cleaning, preprocessing, and statistical analysis using SAS and R. Statistical Modeling: Ability to apply various statistical models, including linear regression and mixed-effects models, in both SAS and R. Reporting and Visualization: Experience with creating reports (e.g., using Qlik or R Markdown) and visualizations to communicate findings effectively Troubleshooting: Strong analytical and problem-solving skills to troubleshoot and resolve complex issues in SAS and R code. Communication: Ability to communicate technical concepts to non-technical stakeholders effectively. Collaboration: Experience working in a team environment and collaborating with other professionals, such as biostatisticians Under moderate guidance, designs, develops, evaluates and modifies SAS and R programs to analyze and evaluate clinical data. Plans, writes and executes statistical programs in SAS and R designed to analyze data from database. Produces tables, listings and figures. Assesses data accuracy and consistency. Extract data from the SAS system and developed R scripts to clean, preprocess, and analyze data. Application of advanced statistical models, including linear regression and mixed-effects models
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