am interested for a Entry-Mid Level SAS Programmer Position in NorthEast.
I have years of experiences on SAS and SQL Programming, Clinical Trials
(phase 1 3), data mining, data analysis and have thorough understanding
of GCPs, CFR and ICH Guidelines.
I prefer to be contacted via e-mail.I am not including my personal
information here since I am sending it to everyone. If you are kind enough
to send me a mail I will provide you full detail.
Please find my Resume at the bottom as a text body.
I look forward to speak with you in the near future.
Personal Information: Confidential
Information Systems professional with years' experience in SAS & SQL
Also have a Strong ability to manage and manipulate databases according to
and in programming and Advanced Statistical analysis. Seeking for a SAS
Programmer position in a Pharmaceutical or CRO Industry.
Bachelor Degree in Computer Science.
Systems : Windows NT/2000/XP,VAX/VMS,UNIX,MS-DOS.
Languages : Java, C/C++,Visual Basic,Java Beans,HTML,FORTRAN,Open GL,
MIPS Assembly,SQL, COBOL.
Software : MS Access 2000,Excel,MS-SQL, PGP, Forte,Power
PhotoShop, Illustrator, Visual Basic, IPRO,Doculex.
PROC(SAS) : PROC PRINT,PROC IMPORT,PORC CONTENTS,PROC SORT,PROC FORMAT,
PROC MEANS,PORC FREQ,PROC TABULATE,PROC
PROC UNIVARIATE,PROC CORR,PROC REG,PROC ANOVA,PROC
Oracle Clinical: Data Management, Data Validation, Statistical Report
Familiar to : Cognos Powerplay/Impromptu, AS 400, Mainframe, Oracle
PL/SQL, DB2, JCL, Bloomberg Terminal, Advanced
(such as: Regression Analysis etc.), Matrix
Relational database design.
Clinical SAS Programmer (Company Name: Confidential)
Writing SAS programs for analysis in UNIX and PC environment.
Validation and review of other Programs.
Delivering tables, listings, graphs, derived datasets in a timely
manner for Clinical Trials.
Creating Modular code with Macros, writing Macros with conditional
logic, writing Data-
Driven Programs with CALL SYMPUT.
Testing Categorical Data with PROC FREQ, Producing Statistics with
Writing edit checks from the Data Cleaning Plan (DCP)
specifications. Checking values of
Numeric Variables, Checking for Missing Values, Looking for "n"
subject, verifying double entry and Using SQL for Data Cleaning.
Extracting Data from Oracle database using SAS/ACCESS, E-review,
Writing Delimited and HTML files using ODS.
Using PROC TTEST, PROC UNIVARIATE, PROC CHART, PROC GLM, PROC
Relationship with Continuous dependent variables.
Converting SAS datasets to Xport format.
Provide SAS training to Oracle Clinical programmers.
Setting up data extracts in Oracle C