
I’m a SAS and R Programmer with hands-on experience in real-world evidence (RWE) and observational healthcare research. Expertise includes quality control validation, data manipulation, and statistical programming for large-scale analytical studies, utilizing Base and Advanced SAS (including macros, PROC SQL, and data step automation) alongside R for statistical analysis and visualization. Proven ability to validate complex models such as Cox regression, survival analysis, and ROC/C-index while developing reusable SAS macros and R functions to enhance efficiency and reproducibility. A strong foundation in pharmacy supports the interpretation of healthcare data from both technical and clinical perspectives, ensuring accuracy and transparency in all analyses.
Programming: SAS (Base, Advanced, Macro, PROC SQL) R (dplyr, ggplot2, survival, tidyverse)
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