Tuesday, 11 October 2011

Clinical SAS Resume13



Professional Summary:-

·         Having 3+ years of experience in analyzing, developing and implementing of various applications in SAS for Pharmaceutical.
    
·         Strong proven knowledge in Base SAS, SAS/MACRO, SAS/SQL and SAS/STAT.  

·         Experience in Data Exporting and Data Importing of different file structures.

·         Extensive knowledge in data management like Merging, concatenating, interleaving and moving of SAS datasets.

·         Strong working knowledge on analysis of clinical trial data, generating reports, tables, listings, graphs and summaries as per company standards.

·         Experience with extraction and migration of data, Multivariate Statistical Analysis using various analysis procedures such as Proc Freq, Proc Means, and Proc ANOVA.

·         Experience in SAS/SQL to access data from relational databases.

·         Generating reports and graphs as per client’s specifications.

·         Ability to learn and adapt new technologies quickly. Analytical and problem solving skills.

Professional Experience:-

·            Working as a SAS programmer in Satyam Computer Services Ltd., Hyderabad from Aug 2005 to till date.

·            Worked as a SAS Programmer in Maxis Software Therapeutics Pvt.Ltd., Hyderabad from Jun2004-Jul2005.

Education Profile:-

·            Bachelor of Science in Mathematics from Acharya Nagarjuna University, Guntur.


Technical Expertise:-


Languages
C , SQL
SAS Tools
BASE /SAS, SAS/MACROS, SAS/STAT,  SAS/SQL,SAS/ODS, SAS/GRAPH, SAS/ACCESS
Operating Systems
Windows 98/XP/NT,  UNIX
Databases
ORACLE.
                                                                                                                                                                                      



Major Assignments:

ASSIGNMENT 1:

Client          :
Zila Pharmaceuticals
Position        :
SAS Programmer
Duration       :
Aug 2006-Till date
Environment  :
Base SAS, SAS/Macro, SAS/Access, SAS/Stat and SAS/SQL
Platforms      :
Windows NT/2000.

Zila, Inc. is a progressive company, bringing needed pharmaceutical, biomedical, dental and nutritional products to medical professionals and consumers worldwide. Involved in clinical data extraction, data mapping, analysis, validates protocols and reporting.

Description:

Is a Biopharmaceutical company developing products designed to improve the safety of the world’s health in Oncology and is conducting Phase III clinical trials. As a SAS Programmer, my role was in analysis of clinical trials data and generating required reports, listings, summaries and graphs for submission to FDA and other regulatory authorities.
Responsibilities:

     Extracted data from Oracle using SAS/Access.
·         Modified existing datasets using Set, Merge, Sort, and Update, Functions and conditional statements.
·         Macros were extensively created and utilized. Developing user defined Formats and Informats to integrate the data.
·         Performed data integrity checks and data cleaning using SAS/MACROS and data steps, created HTML outputs with table of contents using ODS HTML.
·         Developed SAS Programs based on wide usage of SAS/BASE, SAS/MACRO facility to generate tables, listings, reports for clinical studies.
·         Created safety reports and efficacy reports using PROC REPORT for publishing and FDA submission.


ASSIGNMENT 2:

Client                : 
Roche, Switzerland
Position             : 
SAS programmer
Duration            :
Aug 2005-Jun 2006
Environment      :
Base SAS, SAS/Macro, SAS/Access, SAS/Stat and SAS/SQL
Platforms           :
Windows NT/2000.

Description:

     We are concentrating on how the Gender, Weight and Age are influencing on drug & combined effect Cmax concentrations, Clearance and Bioavailability at different doses. The main objective of the study is to determine how hormones influence the pharmacokinetic parameters against children and adolescents.

     The data (CRFs) provided by the client is entered into Oracle-Clinical. Data is then imported to SAS system. The safety analysis of the drug is done under the guidance of clinical research associates. Reports are generated in html or PDF or in graphs according to the client’s specification.


Responsibilities:

  • Extracted raw data from Excel sheets and created SAS data sets that are required for the project analysis
  • Cleaning, validating, sorting and merging techniques is done using SAS/Base include Macros.
  • Generating reports BY using the PROC REPORT,PROC TABULATE,PROC MEANS, PROC PRINT and PROC SQL
  • Involved in Delivering output using ODS (Output Delivery system)
  • Using the Statical procedures like PROC UNIVARIATE,PROC FREQ,PROC CORR,PROC MEANS ,PEOC REG and PROC ANOVA   

ASSIGNMENT 3:

Client             :
IMS Health, NY
Position          :
SAS Programmer
Duration         :
Oct 2004-Jun2005
Environment   :
Base SAS, SAS/Macro, SAS/Access, SAS/Stat and SAS/SQL.
Platforms        :
Windows NT/2000.

Description:
                              
IMS is the one global source for pharmaceutical market intelligence, providing critical information, analysis and services that drive decisions and shape strategies. They monitor the sales of prescription drugs in over 100 countries for active drug manufacturers.                             
  
Clinical Trials are conducted to study the effect of new medicine in the treatment of cancer disease. This study was a double blind randomized, multi-dose studies conducted in two groups of patients i.e., one in patients with metastasis Cancer disease and one in patients with hormone refractory prostate cancer. I had the Opportunity of doing highly skilled Clinical Statistical Analysis. Extensively worked with statisticians to generate listings, summary reports, and tables for FDA submissions according to 21 CFR. Designed tables and graphs for clinical study reports.

Responsibilities:
·          Extracted raw data and created SAS data sets that are required for the project analysis.
·          Cleaning, validating, sorting and merging techniques are done using Base SAS includes Macros and SQL.
·          Once the data is prepared and validated, linear regression models are applied for analysis.
·          From the processed data several reports were generated, used Proc Report, Proc Tabulate and also converted the data into dbf format and sent to the client.
·          Involved in delivering output using ODS.
·          Generated Tables, Graphs and Listings for inclusion in Clinical study reports and regulatory submission.
·          Created SAS datasets in local SAS directory.
·          Analyzed data using SAS/Stat procedures. 

No comments:

Post a Comment