Clinical SAS programming involves managing large datasets with thousands of data points and interdependencies to deliver accurate and reproducible analyses that determine approval of new drug therapies. It requires strong SAS technical skills as well as an understanding of clinical trials, statistics, industry data standards, and soft skills like communication. Learning SAS involves mastering its programming language and data step features like the implied loop and program data vector, as well as tools like macros, PROC procedures, and graphical and statistical procedures.