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Data Sas

Location:
San Jose, California, United States
Salary:
95000
Posted:
January 25, 2018

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Shruthi Samineni

Cell: 669-***-****

Email : ac36sn@r.postjobfree.com

SAS Developer / Analyst

PROFESSIONAL SUMMARY

• Over 5 plus years of experience in SAS programming with good knowledge of advanced statistical methodologies applied in Pharmaceutical, Genetic and Medical device industries.

• Expertise in analyzing and reporting various phases (Phase II-III) Of Clinical Trials

• Expertise in using tools like SAS/GRAPH, SAS/SQL, SAS/MACRO, SAS/ACCESS, SAS/ODS in Windows and Unix environment.

• Experience in creating CDISC complaint SAS datasets (SDTM and ADaM) as well as generating Tables, Listings and Figures.

• Experience in Data manipulation and producing reports employing various SAS procedures like PROC SQL, PROC REPORT, PROC TABULATE, PROC FREQ, PROC MEANS, PROC UNIVARIATE, PROC SUMMARY, and PROC CONTENTS.

• Skilled in using the SAS/ODS facility to convert data to PDF, HTML and RTF formats.

• Extensive exposure on every steps of entire project life cycle such as Oracle, original data collection, data query, data manipulation and analysis, summary of findings and presentation of results.

• Having knowledge of clinical and pharmaceutical drug development process and associated Good Clinical Practice (GCP).

• Extensively involved in creation and validation of analysis datasets, Tables, Listings and Graphs (TLG) and Ad-hoc reports.

• Good understanding of Clinical Trial Phases, clinical protocols/ CRF's/Annotated CRF's, ICH and GCP guidelines, NDA, IND, CDISC, MEDRA, 21 CFR PART 11

• Familiar with Electronic submission guidelines to FDA.

• Expertise in PROC SQL joins.

• Expertise in Integration of various Data Sources like MS-Access, Flat and CSV Files.

• Good communication skills and excellent ability to work well in a team.

• Skilled in SAS programming, merging SAS datasets, preparing data, producing and validating reports, SAS formats, and managing data.

• Have experience in different databases like Oracle, SQL Server, DB2, MySql and Teradata.

• Leverage technology and business process skills to generate innovative solutions to address client business problems.

• Experienced in business terms like Basel compliance, equities, fixed income, and risk management.

• Authorized to work in the US for any employer

TECHNICAL PROFICIENCIES:

SAS: SAS 9.x/8.x/, SAS/EG, SAS/Base, SAS/MACROS, SAS/STAT, SAS/GRAPH, SAS/SQL, SAS/ODS, SAS/ETL, SAS/Access, SAS/Assist, SAS/Connect, SAS Enterprise Guide, etc.

SAS Procedures: Sort, Means, Freq, Print, Tabulate, Report, Summary, Transpose, Contents, Format, Chart, Plot, Univariate, Mixed, Reg, SQL, Anova, Template, Compare, Import, Export, etc.

OLAP, OBIEE 10.1.3.x

Operating Systems: UNIX (Sun Solaris, HP Unix, LINUX), Windows NT/98/95, WIN 2000

Database: Oracle, MS Access, SQL Server 2000, DB2, Teradata.

Languages/Utilities: SQL, PL/SQL, Unix shell scripts

Other Tools: MS Office - Access,Toad, Excel, Power Point, Statistical programming, Clinical Trials, Data Analysis, Generate Reports.

Work Experience

Clinical SAS Programmer Stryker endoscopy

June-2015 to Present

Responsibilities:

• Generated statistical analysis files, summary tables, listings and graphs using SAS/BASE, SAS/MACROS, SAS/MERGE, SAS/GRAPH and SAS/STAT.

• Used SAS/ACCESS to extract data from Oracle and other relational databases for analysis.

• Used Dynamic Data Exchange (DDE) feature of SAS for importing data from SAS, MS Access and Excel.

• Prepared new datasets from raw sets files using Import Techniques and modified existing datasets using Set, Merge, Sort, Update, Formats, and Functions.

• Developed and customized reports using PROC REPORT, PROC SORT, and PROC FREQ and PROC MEANS and DATA_NULL_.

• Created new datasets from existing data-sets by using concatenation, merging, and interleaving and using conditional statements.

• Defining, Manipulation, Controlling and Reporting/Storage (Query Language) of Clinical Data by using PROC SQL.

• Forecasting the data transformation, ARIMA modeling and forecasting, regression analysis with autoregressive errors and regression analysis of panel data.

• Generated routine and ad-hoc reports using PROC PRINT, PROC LIFETEST, PROC SORT, PROC FREQ and PROC REPORT.

• Generated required Charts, Graphs and reports using Proc REPORT, Proc GPLOT and SAS/Graph for graphical analysis.

• Gathered subset of enterprise data using SAS Scalable Data server for analysis to check the performance of business intelligence and analytic applications.

• Developed and improved the efficiency of programs through the use of SAS macros.

• Moved the datasets and final results between multiple platforms.

• Created an annotated CRF document that maps CRF data sets to SAS data sets.

• Validation done on all the data sets and developed testing scripts and Flag the scripts according to priority using PI manager Tool.

• Used SAS/ODS facility to generate custom reports and thus directing SAS output to RTF, HTML and PDF files.

• Reviewing developed SAS code to eliminate any possible errors and improve functionality.

Environment: SAS 8/9, SAS/BASE, SAS/MACROS, SAS/ACCESS, SAS/SQL, SAS/ODS, Excel/Access 2000

Clinical SAS Developer Genentech

Jan-2013 to April-2015

Responsibilities:

• Utilized SAS Macros to develop tables, listings and figures. Extensively used PROC Reports to create listings and PROC graphs to create figures. Used SQL to convert Clindex data into SAS and for data manipulation.

• Involved in Statistical programming and validation of Analysis Datasets and Tables, Listings, Graphs (TLG'S).

• Worked on with different phases of Oncology clinical trials like Phase 1 and Phase2.

• Created Patient narratives and generated .XML outputs for FDA regulatory submissions.

• Developed standard reports for safety and efficacy data including laboratory and adverse event summaries for NDA (New Drug Application) updates using PROC REPORT.

• Worked closely with team Statistician and prepared Adhoc reports for analysis

• Programed customized data displays, (including data listings, summary tables and routine graphics) in accordance with approved statistical analysis plan and shell displays for clinical research studies

• Successfully processed extremely large volumes of data into manageable SAS datasets for storage in an Oracle data warehouse

• Developed and analyzed clinical data as well as programming SAS codes to meet company and client standards.

•Generated statistical analysis files, summary tables, listings and graphs using SAS/BASE, SAS/MACROS, SAS/MERGE, SAS/GRAPH and SAS/STAT.

• Used SAS/ACCESS to extract data from Oracle and other relational databases for analysis.

• Used Dynamic Data Exchange (DDE) feature of SAS for importing data from SAS, MS Access and Excel.

• Prepared new datasets from raw sets files using Import Techniques and modified existing datasets using Set, Merge, Sort, Update, Formats, and Functions.

• Developed and customized reports using PROC REPORT, PROC SORT, and PROC FREQ and PROC MEANS and DATA_NULL_.

• Created new datasets from existing data-sets by using concatenation, merging, and interleaving and using conditional statements.

• Defining, Manipulation, Controlling and Reporting/Storage (Query Language) of Clinical Data by using PROC SQL.

• Generated routine and ad-hoc reports using PROC PRINT, PROC LIFETEST, PROC SORT, PROC FREQ and PROC REPORT.

• Generated required Charts, Graphs and reports using Proc REPORT, Proc GPLOT and SAS/Graph for graphical analysis.

• Gathered subset of enterprise data using SAS Scalable Data server for analysis to check the performance of business intelligence and analytic applications.

• Developed and improved the efficiency of programs through the use of SAS macros.

• Moved the datasets and final results between multiple platforms.

• Created an annotated CRF document that maps CRF data sets to SAS data sets.

• Validation done on all the data sets and developed testing scripts and Flag the scripts according to priority using PI manager Tool.

• Used SAS/ODS facility to generate custom reports and thus directing SAS output to RTF, HTML and PDF files.

• Reviewing developed SAS code to eliminate any possible errors and improve functionality.

Education

Masters in Business Administartion in Health Care Management

International technological university (San Jose, CA)

March 2010 – June 2012

Bachelors in Dental Surgery

NTR university(India)

March2003 –July2008



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