• SAS/BASE, SAS/ODS, SAS/MACRO, SAS/SQL procedures. • Various data management skills like Merging, Handling missing values, Reading Raw data files, creating data structures, Handling programming errors, Accessing and Managing data, Appending, Concatenating and Interleaving of SAS datasets. • Importing and exporting EXCEL and ACCESS files using LIBNAME, PROC IMPORT, PROC SQL and PROC EXPORT. • Broadly used SAS/MACRO for creating macro variables, macro programs and Autocall macro library to modify existing SAS program for ease of modification while maintaining consistency of results. • Comprehensive prepared reports using SAS report generating procedures like PROC PRINT, PROC FREQ, PROC MEANS, PROC TRANSPOSE and PROC SQL. • Usage of data _null_, SAS formats informats and functions, data manipulation & report. • Data Merging, Data Subsetting with the use of PROC SQL, MERGE and SET statements. • SAS/SQL for Creating summary reports, Displaying query results, Generating Tables and Views, SQL joins and Set operators. Good knowledge on ICH, GCP, FDA Guidelines and 21 CFR Part -11. Good knowledge on Drug Development and overall Clinical Research process. Good knowledge of CDISC-SDTM model and a Classification of Domain.