Description
SUMMARY: Over Nine years of experience in SAS programming with good knowledge of advanced statistical methodologies applied in Pharmaceutical and Biotech industries. Expertise in analyzing and reporting various phases (Phase I-IV) Of Clinical Trials using tools like Base SAS, SAS/STAT, SAS/GRAPH, SAS/SQL, SAS/MACRO, SAS/ACCESS and SAS/ODSin UNIX and Windows environment. Developing Debugging and validating the project-specific SAS programs to generate derived SAS datasets summary tables and data listings according to departmental standards. Used Sorting and Merging techniques on the raw data sets for value added data preparation to get the required Reports or Analysis data sets. Performed QC (Quality Check) extensively on tasks performed by other team members and involved in data validation and data cleaning in all phases of Clinical studies. Extensively used Proc SQL to retrieve update and report on information from SAS data sets and other database products. Modification of existing SAS programs and creation of new programs using SAS Macros. Built Macros and create macro variables using %LET CALL SYMPUT and DATA _NULL_ to help generate analysis data sets and create specified structure of TLFs. Ability quickly debug SAS compiling errors to review SAS code and quickly identify areas of concern. Worked with Statisticians and Clinical Data Managers to provide SAS programming in analyzing the Clinical Trials and generating Reports. Created analysis datasets based on the guidelines provided in the Data Definition Tables (DDT) and following the CDISC standard. Used SDTM model (3.1.1)/ ADAM for domain creation and CDISC compliant analysis datasets. Used Proc CDISC for verifying compliance of datasets with CDISC standards and electronic submissions. Worked on multiple protocols and/or drug compounds at a time.
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