• SAS/ Statistical programmer with over 7 years of experience in data management and statistical programming in various phases of clinical trials working for Pharmaceutical companies and Contract Research Organizations (CRO). • Skillful in data extraction and data sorting from various databases like Oracle, DB2, MS Access. • Expertise in analyzing and coordinating clinical trial data in generating tables, listings and graphs by using SAS in accordance with the Statistical Analysis Plan (SAP), Standard Operating Procedures (SOPs) and departmental guidelines. • Good working knowledge in CDISC standards like STDM, ADaM. • Experienced in using various SAS modules such as SAS/BASE, SAS/STAT, SAS/ODS, SAS/GRAPH and SAS/MACROS. • Proficient knowledge of medical terminology, clinical trial methodologies and FDA regulations. • High proficiency in understanding clinical trial study designs and protocol along with case report form (CRF/eCRF), annotated case report forms and company Standard Operating Procedures (SOP). • Good knowledge of developing Ad Hoc reports as per the requirement of the medical writer/FDA • Extensive knowledge and experience in all phases of clinical trials. • Proficient in handling the clinical trial data like demographic data (DM), concomitant medications (CM), adverse events (AE), laboratory data (LB), subject visits (SV) and vital signs (VS), Disposition (DS) etc., • Worked on Clinical trials data in different Therapeutic Areas of Oncology, Cardiology, Diabetes, Pain Management, Endocrinology, and central nervous system etc. • Having excellent command in producing reports employing various SAS procedures like Proc Print, Proc Report, Proc Summary, Proc SQL, Proc Tabulate, Proc Mean, Proc Freq, Proc Univariate, Proc Transpose, and Data _NULL_ • Experience in Data Manipulation procedures such as SAS Formats/In formats, Merge, Proc Append, Proc Datasets, Proc Sort and Proc Transpose. • Exceptional ability in problem solving, data analysis, complex reports generation with macro and data transfer between different environments. • Involved in SAS edit check programming for Data management. • Experience in validating SAS Datasets, Tables, Listing and Figures using Proc Compare Procedure. • Extensively used SAS Procedures and Functions to produce Tables, Listings and Graphs (TLGs). • Good programming skills such as implementation of Arrays, Macros and making the program self-explanatory using various comments and follow SOP. • Excellent experience with export SAS Results to different format, such as PDF, RTF, HTML, XML by using SAS/ODS and Excel using SAS/Export for reporting and presentation. • Excellent knowledge of SAS ETL. • Experience in using SAS to read, write, import and export to another data file formats, including delimited files, Spreadsheet, Microsoft Excel and Access tables. • Gained strong mapping knowledge in submission of data in CDISC SDTM format, based on CDISC SDTM Implementation guide. • Establish monitoring of data transfers for ongoing trials to identify study conduct or data quality issues. • Support data queries from other functional group (Biostatistics, Medical Writing, Clinical Development, Clinical Operations, Regulatory, and Marketing). • Worked closely with Data Management Group to create data cleaning and data validation listings.

Highlights:

• Base SAS
• Macro (Predefined Code)
• Microsoft Access
• Microsoft Windows
• SAS
• SAS/ACCESS
• Statistical Analysis
• Microsoft Excel
• Proc
• SAP
• clinical programes