Sr. Statistical Programmer Resume NC - Hire IT People

SUMMARY

Certified BASE SAS 9.2 Programmer and having around 5 of experience as a SAS Programmer with solid theoretical background in statistics and strong practical experience in data collection, manipulation and analysis using various statistical software applications in Pharmaceutical, CRO and Biotech industries.
Experience in preparation of tables, listing and graphs using Base SAS, SAS/GRAPH and SAS/STAT.
Extensive experience in using SAS Functions, Statements, Formats and Informats.
Experience in design, writing and debugging the macro routines and applying macro variables in a SAS program.
Good Understanding of Clinical Trial Protocols, CRF Annotation, Protocol Review, CRFs, Test Databases and Statistical Analysis Plans
Worked on data validation and edit checks
Good understanding of CDISC SDTM models and experience in converting legacy data to CDISC SDTM (Study Data Tabulation Model) Standards.
Experience in Data mapping from non - CDISC SDTM to SDTM and creating ADaM datasets from SDTM.
HTML, RTF and PDF formatted files using SAS/ODS
Knowledge of CRF-Annotation with respect to various database designs in clinical trials for pharmaceutical industries.
Strong SAS programming background for maintaining existing code, ad-hoc reporting and supporting the reporting functions.
Good team player with excellent communication, analytical and problem solving skills.
Extensive experience in Oncology and Cardiovascular therapeutic areas.
Ability to work independently and in a team.

TECHNICAL SKILLS

SAS Tools: SASV8.2,9.1, BASE/SAS, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS MACROS and SAS/GTL

Procedures: PROC FREQ, PROC UNIVARIATE, PROC MEANS, PROC SORT, PROC REPORT, PROC TABULATE, PROC SQL and PROC PRINT

Languages: SAS, SQL

Databases: Oracle Clinical, Inform and MS Access

Operating System: WINDOWS VISTA, WINDOWS 7

PROFESSIONAL EXPERIENCE

Confidential, NC

Sr. Statistical Programmer

Responsibilities:

Work on CDISC SDTM models and experience in converting legacy data to CDISC SDTM Standards.
Used validation tools like Open CDISC Validator to check the compliance of CDISC SDTM ready datasets and prepared Reviewers Guide based on Open CDISC validator report to support the submissions.
Extraction of the data from internal sources/importation of the data from external sources. These data are all imported into SAS and structured to meet our internal CDISC SDTM standards
Experience in Data mapping from non-CDISC SDTM to SDTM and creating ADaM datasets from SDTM.
Attend project team meetings, worked with Bio-Statisticians and Data Managers.
Create SAS programs to generate Derived/Analysis datasets, Data Listings, Summary Tables, and Graphic displays according to company standards.
Provided programming support, utilized and modified standard programs to generate reports in compliance with SOPs.
Establish and maintain a sound working relationship and effective communication within Bio-statistics, Statistical Reporting and Data Management team. Also, coordinate and interact with other departments to ensure clean and accurate data, Quality Assurance standards and Data Validation.

Environment: Windows 7, SAS 9.2, SAS/MACROS, SAS/STAT, SAS/ACCESS, SAS/ODS, SAS/SQL.