SUMMARY

• Over 5 years of experience in SAS programming using SAS 9.1/9.2/9.3 and Data management in Healthcare, Pharmaceutical and Insurance domains.
• Rich experiences in SDTM dataset creation based on CDISC standard and quality control
• Proficient in generating Analysis datasets(ADS), tables, listing and graphs with SAS/Macro, SAS/SQL, SAS/Base for clinical study reports
• Hands - on experience in clinical trial conduct and adverse event management. This includes the ability to read and understand medical source documents pertaining to adverse events.
• Proficient in maintenance of large data sets and data extraction from different database environments such as MS SQL Server and MS Access to and from SAS using PROC ACCESS, SQL pass-through facility.
• Experience in data cleansing and Data Manipulation, ad-hoc reporting and coding utilizing SAS programming skills in SQL and understanding of data management principles, such as joining data sets, data aggregation and sub setting using PROC SQL.
• Hands on experience on the SAS Functions, Statements, Data Set Options and System Options.
• Extensive experience in transforming data imported from disparate data formats into SAS Datasets.
• Expertise in cleaning and resolving data issues and merge data from different sources onto a single integrated dataset.
• Generated various External data files and reports into SAS Dataset SAS Library by using SAS Access, SAS Infile, SAS Import and SAS SQL.
• Good understanding of different coding dictionaries like MedDRA and WHODrug.
• Knowledge of creating all files, documents, and analyses necessary to support electronic submissions in formats - ISS, ISE.
• Proficient in cleaning, importing, managing, manipulating and reporting data into SAS programs and macros for data quality control, validation and documentations
• Knowledge of statistical analytical skills and experience in efficacy analysis and categorical data analysis
• Extensive knowledge of Microsoft Office Suite, proficient in Advanced Excel
• Solid understanding of pharmaceutical data standard and clinical trial terminologies
• Proficient in generating a wide variety of Financial Modeling with Advanced Excel.

TECHNICAL SKILLS

SAS Tools: SAS/BASE, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/STAT, SAS/ODS

Languages: C#, SQL

Databases: SQL ServerWeb Development HTML, XML, CSS

Development tools: Microsoft Office, Microsoft Visio

Operating System: Windows XP/08, Linux

PROFESSIONAL EXPERIENCE

Confidential, Lexington, KY

SAS Programmer

Responsibilities:

• Participated in designing, coding, testing, debugging and documenting SAS programs.
• Performed edit check and data cleaning program according to CRF and validation plan.
• Developed programming to generate CDISC/SDTM domains based on mapping specifications and eCRF.
• Created Data listings in support of Clinical Trials with ODS/RTF and maintain documentation for SAS programs.
• Developed and maintained programs using SAS tools for Clinical trials
• Extracted data from database and involved in cleaning the data (data cleansing) using various edit check techniques.
• Extensive experience with the SAS programming and in data step and with various SAS Procedures in Base SAS and SAS/Stat, including thorough knowledge of SAS Macro Language.
• Programmed in SAS for analyzing data and producing Tables.
• Generated clinical data summary tables/Listings/graphs and reports using SAS.
• Interacted with Data managers, Statisticians and CRA's in clinical research and development by providing programming support for the processing of clinical data.
• Coordinated and maintained SAS programming activities supporting Target eCRF development and data management activities.
• Translated requests for simple to complex statistical analysis, data preparation, data manipulation, and reporting tools into SAS programs and macros.
• Developed routine SAS Macros and improve the existing ones to generate clinical study reports.
• Effectively used many SAS functions like SCAN, SUBSTR, PUT, INPUT, TRIM, MDY and apply simple descriptive statistics using STD, MEAN and SUM.
• Generated ad-hoc and customized reports using reporting tools like PROC REPORT, DATA NULL and SAS/ODS technique.
• Participated in the validation/QC of SAS programs, analysis datasets, listing and data entry.
• Worked closely with other SAS programmers and Data Manager.

Environment: SAS 9.1/ 9.2/9.3, Windows and MS Excel, SAS/Base, SAS/Macro, SAS/SQL, SAS/ODS, SAS/Graph, CSV, PDF, SQL database

Confidential, Cocoa, FL

SAS Analyst

Responsibilities:

• Conducted statistical analysis using various statistics procedures on clinical trial data, such as PROC MEANS, PROC UNIVARIATE, PROC FREQ, PROC LIFETEST, PROC TTEST and PROC LOGISTIC.
• Coded and cleaned data in order to assure the validity of statistical analysis in SAS.
• Generated e-submission such as Transport file, define documents, formatted HTML and PDF reports using SAS ODS.
• Designing statistical summary tables, graphs and patient data listings using SAS BASE and SAS/GRAPH.
• Created RTF reports using ODS techniques.
• Tabulated the data so as to make it easier to analyze and create reports by extensively using PROC REPORT, PROC TABULATE and DATA NULL
• Coordinated with Bio-Statisticians to analyze the results obtained from various statistical procedures like ANOVA, UNIVARIATE, MEANS.
• Created analysis datasets, data listings and summary tables and performed their validation through independent SAS programming for ongoing Pulmonary and heart disease trials.
• Used various Statistical procedures for analyzing data and creating summary reports.
• Extensively used different Base SAS Procedures like Proc Sql, Proc Contents, Proc Print, Proc Sort
• Extensively used different SAS/STAT Procedures like Proc Means, Proc Univariate, Proc Anova, Proc Corr, Proc Freq

Environment:, SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/ACCESS, MS EXCEL, Windows XP, UNIX

Confidential, Boca Raton, FL

SAS Programmer

Responsibilities:

• Performed Data Cleaning, Sorting, Merging, Data Analysis and Summarization using SQL, SAS(Interactive) on UNIX and PC SAS.
• Built Predictive data models in SAS using Linear
• Worked extensively in Data Analysis, Data Mining of raw data, excel data and creating various reports from Data Marts used in forecasting the response rate
• Used Proc SQL, Proc Tabulate, Proc Report, Proc Sort, Proc Freq, Proc Transpose, Proc Summary, Proc Means, Proc Reg, Proc ANOVA, Proc Univariate and Data NULL .
• Reading data from Excel, Oracle and Raw data from Text Files and converting them to SAS datasets and or writing to Flat Files, Oracle Tables and Excel files and generating Reports RTF and HTML formats using Data Null, SAS/ODS, PROC REPORT.

Environment: SAS/Macro, SAS Graph, SAS/STAT, SAS/Connect, PC-SAS, MS Access 97, SQL, MySQL, Excel, Word, UNIX-HP