SAS Programming Consultant Resume

SUMMARY

Have fourteen years’ experience as a Statistical/SAS Programmer/Analyst.
Possesses strong background in Clinical Trials, SAS, SQL, UNIX, WIN NT, VM/CMS, MVS/TSO and VAX/VMS.
Generate Reports, Listings, and Graphs required for Clinical Trials.
Mapping Variables from the Raw Datasets to Analysis Datasets for Clinical Trials.
Work on the Safety, Integrated Summary Safety, Efficacy and Integrated Summary Efficacy programming.
Program various statistical procedures required for Safety and Efficacy analysis.
Migration of Data from One Operating system to another Operating System.
Development of 2 - D, and 3-D graphs using the SAS Graphic Software.
SAS/SQL Creating Tables, and Views Using Sub queries and Joins.
Execution of programs with Data Null Step, SAS Array Processing, SAS
Merge SAS Macro and DATA Manipulation across MVS/CMS/PC/UNIX/VAX/MAC Platform.

TECHNICAL SKILLS

Operating Systems: VAX/VMS, UNIX, MVS, VM/CMS, Mac, DOS, OS2/Windows

Languages: SAS, FORTRAN, Pascal

Databases: Oracle

Tools: and Libraries: Microsoft Outlook, Word, Excel, Word Perfect, AutoCAD, Foxpro, Lotus1-2-3, Quattro Pro, Sigma Plot, and Mathematica, FTP, SAS Macro Programming Advanced Topics, Getting Started with the Output Delivery System and Advanced Output Delivery System Topics.

PROFESSIONAL EXPERIENCE

Confidential

SAS Programming Consultant

Responsibilities:

Reviewed CRT datasets against the bank CRF pages for all pages in the CRF book.
SDTM variables were annotated on the PDF blank CRF for special purpose datasets such as domains datasets as well as trial model designs datasets, for intervention datasets, for findings datasets and supplemental qualifiers datasets of hepatic oncology study and renal impairment oncology study.
Wrote specifications on the excel spread sheet to map variables from CRT datasets to SDTM datasets such as special purpose datasets, for intervention datasets, findings datasets, intervention datasets and supplemental qualifiers datasets using SDTM Mapping specifications for hepatic oncology study and renal impairment oncology study.

Confidential

Statistical Programming Consultant

Responsibilities:

Worked in the oncology and anti-Inflammatory therapeutic areas.
Reviewed SAP, analysis dataset specifications and protocols.
Developed and validated analysis datasets required for efficacy and safety analysis.
Produced and checked safety and efficacy tables, listings and graphs.
Produced graphs using Gplot, proc greplay and the annotate dataset.
The standard macros, many SAS procedures such as proc report, proc print, proc sql, proc lifetest, various SAS statements and functions are used to program the analysis datasets, tables and listings.

Confidential

Senior Statistical Programmer

Responsibilities:

Reviewed and provided comments required for the SAP, Analysis dataset specifications and Protocols. Created derived datasets using CDISC(SDTM) and Created derived datasets without using CDISC. Generate and verified Safety and Efficacy tables, listings and graphs required for oncology, anti-infective and Pain/anti-inflammation Therapeutic Areas.
Created Graphs using Proc Gplot. The Standard Macros, Proc Report, Proc Print, Proc SQL, various SAS Statements, and Functions are used to program the analysis datasets, tables and listings.

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