Statistical Programmer
• Assimilated CDISC standards and FDA requirements for clinical and nonclinical trial data tabulations (SDTM, SEND), then developed an extensible, comprehensive custom rulebook for data quality check (QC) on toxicology data (SEND);• Developed, debugged, implemented SAS macros to identify multiple data tabulation errors, organized them into QC reports, delivered presentations and provided constructive feedbacks to the Toxicology Department during cross-department meetings;• Identified a critical programming logic flaw in an existing SDTM macro, communicated reasonings and evidence with senior managements, resulting in SAS macro reconstruction and enhanced data integrity for future data submission to the FDA;