Data Programmer
-Automated manual download processes, reducing errors by creating a system to reconcile images for improved accuracy and efficiency.-Improved processing efficiency and reduced manual data entry by training and implementing AI tools, including training OCR models for automated data extraction.-Optimized data processing workflows by integrating new data tools and systems.-Ensured compliance and consistency in clinical data by implementing CDASH MSG 2.0 standards.-Executed SAS reports and developed reconciliation programs to enhance data accuracy.-Ensured thorough and accurate data reporting for FDA submission by creating Define.xml files to document metadata for SDTM data.-Ensured adherence to regulatory standards and validated datasets by utilizing Pinnacle 21 software.-Eliminated manual copy-and-paste methods by using LaTeX for consistent heatdeck reporting, creating arrays of heatmaps that enhanced data visualization, analysis efficiency, and aesthetics.-Streamlined organization and manipulation of large datasets by employing regular expressions.-Improved project outcomes by collaborating with cross-functional teams to gather data requirements.