Offering background in data analysis and programming with keen interest in statistical methodologies and their applications. Brings ability to learn new statistical software and programming languages quickly while contributing to data-driven projects. Ready to use and develop skills in SAS, R, and statistical analysis .
· Good programming skills in SAS (Base and Advance) technologies.
· Good programming skills in Clinical R Programming.
Programming of external validation checks and execute the same as requested by study team using SAS and R Programming.
· Knowledge of Generated Tables and Listings as per the SAP by using Raw data and aCRF using SAS and R Programming.
· Import and Export data using R Programming
· Data Manipulation with R Programming.
· Joining/Merging ,Transpose with R programming.
· Knowledge in SAS functions, statements, formats & informats.
· Sound Knowledge in creation of datasets, Tables, Listings, Reports, and Summaries according to requirements in compliance to Standard Operating Procedures (SOPs), Statistical Analysis Plan (SAP) using SAS and R programming.
· Performed Data Validation and Data Cleaning on Clinical Trial data using SAS and R programming.
· Knowledge of quality customized reports by using PROC TABULATE, REPORT and SUMMARY and also provided descriptive statistics using PROC MEANS, FREQ.
· Knowledge of Designed LOT (list of tables) and Table Shells for the CSR submission of the study using SAS and R programming.
· Knowledge of Produced output in various formatted files such as Excel sheets, PDF and RTF using SAS/ODS.
· Write and review Statistical programs to create the manual and SAS checks of Clinical study (SAS programmer.
Knowledge of Developed and Analyzed Safety and Efficacy tables, Listings and Graphs and the Value added datasets according to standards.
· Knowledge of CRF-Annotation.
· Sound Knowledge of Clinical Data Management
· Well versed in Study Set-up, Study Conduct and Close-out phase.
R programming language