Dynamic and Result-oriented SAS Programmer with extensive years of SAS programming experience covering all aspects of SAS processes – analysis, design, testing and validating, including advanced statistical methodologies applied in Pharmaceutical and Biotech industries. Rich background in general linear models, categorical data analysis, randomized trial designs and survey design and analysis, as well as creating SAS datasets, macro definitions, debugging programs, and documentation. Possess solid ability in integrating programing skills, adapting to new applications and platforms, and converting data from complex clinical systems and Experienced SAS Analyst with an outstanding history in data analytics and metrics reportage using SAS as the primary tool. Ready to implement and complete complex projects across all levels of an organization.