Sr. SAS Programmer Resume Rockville, MD - Hire IT People

SUMMARY

Over 5 years of solid work experience in SAS programming for clinical trial data analyses in pharmaceutical industry.
Experience in implementing CDISC standards SDTM and ADaM.
Proficiency in developing program with SAS programming language such as SAS Data Step, Input/Format/Informat, Merge, Set, Proc Sort, Proc Transpose, SAS /SQL and SAS/ Macro for Data Manipulation and Integration, creating the derived Analysis Datasets.
Expertise in using the various statistic methods in SAS/ Base and SAS/STAT such as PROC MEANS, PROC FREQ, PROC SUMMARY, PROC REG, PROC GLM, PROC ANOVA, PROC UNIVARIATE and PROC LIFETEST etc.
Extensive experience in generating various format Reports such as Tables, Listings and Graphics by employing Proc Report, ProcTabulate, Proc Print, Data null and SAS Macro.
Strong skills in producing RTF, HTML and PDF formatted files in different style using SAS/ODS.
Experience in extracting the data from various internal and external database (Oracle, Access, Excel spreadsheets) using SAS/ACCESS/SQL Pass - Through Facility or Libname Statement.
Experience in generating different statistic Graphs such as Bar Chart, Histogram, Box Plot, Scatter Plot, Series Plot, by using SAS/GRAPH and ODS/GRAPH procedures such as PROC GPLOT PROC GCHART.
Expertise in QC and Validation using Proc Freq, Proc Means, Proc Print with WHERE statement, Proc Contents, Proc Compare.

TECHNICAL SKILLS

SAS Products: SAS/BASE, SAS/MACRO, SAS/STAT, SAS/SQL, SAS/ACCESS, SAS/ODS, SAS/GRAPH.

Database: MS Access, MS SQL Server, Oracle

Operating Systems: Windows 7/Vista/XP/2000, Unix

MS Office: Word, Excel, PowerPoint, Access, Outlook

PROFESSIONAL EXPERIENCE

Sr. SAS Programmer

Confidential, Rockville, MD

Responsibilities:

Created SDTM Data sets for Lab, AE, DM, EX and from Raw Data sets by following CRF, Dataset Specifications and CDISC SDTM Implementation.
Derived analysis datasets from SDTM datasets as per Analysis dataset spec (ADaM).
Develop, modify, validate and implement SAS programming work according to SAP.
Derive analysis dataset from raw dataset using Data steps and various procedures such as Proc Sort, Proc Transpose, Proc SQL and Macros.
Generate tables, patient data listings and reports according to SAP using various procedures like PROC REPORT, PROC FREQ, PROC TABULATE, PROC MEANS.
Modify existing SAS programs and create new programs using SAS MACROS to provide reusable programs that can be conveniently used time to time.
Produce outputs in different formats such as HTML, RTF and PDF using SAS ODS.
Validate programming output with other programmers output in SAP using PROC COMPARE.
Work with statisticians to provide SAS programming support to clinical study group for clinical trial projects.

Clinical SAS Programmer

Confidential, Raleigh, NC

Responsibilities:

Imported datasets from different sources like Excel spreadsheets or data file with delimiters.
Converted existing raw data into CDISC SDTM domain datasets and reviewed Annotated CRF to ensure the data consistency and adequacy with the protocol requirements.
Organized datasets into forms for statistical analyses by merging, combining, splitting, and coding, and performed edit-check for datasets to assure the quality of the datasets.
Used various procedures like PROC FREQ, PROC MEANS, PROC SUMMARY to develop customized reports.
Built or applied existing macros to produce customized tables. In these macros, DATA step and various statistical procedures like PROC REPORT, PROC FREQ, PROC TABULATE, PROC MEANS, PROC GPLOT and PROC FORMAT were applied to generate various data tables, patient data listings and reports according to SAP.
Performed quality assurance procedures of other programmers work, validation of SAS programs, and debug complex programming code by using DATA step.
Supported Staff programming needs and performed Ad hoc requests.

SAS programmer

Confidential, Saratoga Springs, NY

Responsibilities:

Performed Data Cleaning to remove erroneous data entered by using edit check programs before the data analysis.
Conducted statistical analyses for individual and integrated studies. Generated descriptive statistical summary; performed categorical analyses, ANOVA, logistic regression, cross-over design analyses using PROC LOGISTIC, PROC GLM, etc.
Produced clinical reports including customized tables, listings and graphs summarizing descriptive and inferential statistical analyses by using Macro and MEANS, PROC FREQ and PROC UNIVARIATE.
Assured the quality of databases by doing derived variable validation and missing value imputation.
Directed customized SAS outputs to RTF or HTML files by SAS ODS.