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FeaturedAbout Candidate
1.Possess extensive knowledge of developing SAS program.
2.In depth knowledge of combining DATA SETS using MERGE, CONCATENATING and APPEND Procedures.
3. Ability to generate REPORTS using procedures like FREQ, MEANS, REPORT, SUMMARY, ODS
4.Possess excellent Knowledge of MANIPULATIG DATA Using ARRAY and DO LOOPS.
5.Knowledge of programming using ADVANCE SAS like creating MACRO DEFINITION, MACRO VARIABLES, CONDITIONAL and ITERATIVE Processing in Macro definition.
6.Identifying the standards and Protocol specific SDTM domain and implement SAS programming work According SAP(Statistical Analysis Plan).
7.Programming of Analysis datasets From raw data files by following company standard specification.
8. Having good Knowledge of of SAS/BASE, SAS/MACROS, SAS/SQL, SAS/ODS.
9.Good Knowledge of SAS FUNCTIONS, STATEMENTS, and SAS FORMATS/INFORMATS.
10.Knowledge of CRF-Annotation
6.Good Analytical and problem Solving Skills.
7.Excellent Team player with high level of personal initiatives.
Technical Project Experience
Projects:
➢ Development of SDTM Domain Dataset.:
Create SDTM Demography domain dataset by writing independent code in SAS.
➢ Analysis Dataset Validation
Creation of ADaM Dataset for Vital Signs and compare and validate the dataset with already
Created Dataset
➢ Report Generation
Generate the demography report by writing independent code in SAS using analysis dataset for
demography.
➢ Report Validation
Validate RTF reports by writing independent SAS code
➢ Report Generation
Generate the ‘Summary of Physical examination (Safety Analysis Set)’ report by writing
independent code in SAS
Global Certifications (if any)
Education
Work & Experience
➢ Well versed with SAS/BASE, SAS/ADVANCE, SAS/SQL, SAS/ODS, SAS/MACRO. ➢ Knowledge of SAS Programming, Preparing and Cleaning Data, SAS Formats and Informats, SAS Functions, Statements. ➢ Experience In REPORT Generating Procedures Like PROC FREQ, PROC MEANS, PROC TRANSPOSE, PROC FORMAT, PROC REPORT etc. ➢ Use Various Data Management Skills Like Merging, Handling Missing Values, Handling Programming Errors, Accessing and Managing Data, Appending, Concatenating, Interleaving of SAS Datasets. ➢ Import-Export Data by Using Different Procedure Like LIBNAME, PROC IMPORT, PROC EXPORT, etc. ➢ Reviews tables/listings, edit checks output and SAS programs to ensure quality of deliverable. ➢ Creating Listings using SAS Procedures Like Proc Report, Creating Tables Using Summary Procedures Proc Means, Proc Freq, Proc Summary. ➢ Having Knowledge of CDISC SDTMIG v3.4 and SDTM Domains like DM, SE, SV, AE, MH, DS, CM, EX, VS, LB ➢ Knowledge of creating ADaM-Analysis datasets Like ADSL, BDS, OCCDS. ➢ Knowledge of clinical terminology and drug development process and understanding of related documents such as Protocol, CRF and having Knowledge on CRF-Annotation as per CDISC-SDTMIG V3.4