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Sr. Sas Programmer Resume

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Waxhaw, NC

SUMMARY:

  • Sr. SAS Programmer with 8+ years of experience with emphasis on analysis, development, testing and implementation of various projects for Pharmasuitical and CRO industries.
  • Strong knowledge involving in all (I,II,III) phases of clinical studies.
  • Excellent experience in implementation of the CDISC standards - SDTM and ADAM.
  • Expertise in analyzing and coordinating clinical trail data, generating reports, tables, listings and
  • Knowledge of different data domains such as demographics (DM), concomitant medications (CM), Exposure (EX), vital signs (VS), lab (LB), adverse events (AE & SAE) medical history (MH) and protocol deviations(DV).
  • Experience in extracting the data from Oracle and SQL Server databases efficiently.
  • Strong knowledge in SAS/BASE, SAS/STAT, SAS/MACROS, SAS/GRAPH, SAS/ODS, SAS/ACCESS, SAS/CONNECT.
  • Experience in writing/customizing macros to develop concise and reusable code.
  • Excellent command in producing reports employing various procedures like Proc SQL, Proc REPORT, Proc TABULATE, Proc SORT, Proc TRANSPOSE, Proc UNIVARIATE, Proc SUMMARY etc.
  • In-depth knowledge of SAS programming, data processing, data collection, quantitative and qualitative data analysis.
  • Good knowledge on CDISC SDTM Specifications.
  • Experience in CDISC (SDTM) mapping from raw datasets.
  • An excellent knowledge in submission of data in CDISC SDTM format, based on CDISC SDTM Implementation guide (SDTM IG).
  • Good knowledge on CDISC SDTM standards and on using Open CDISC validator to check the compliance of the SDTM datasets.
  • Provide programming support in generating and\or validating analysis datasets (SDTM and ADaM).
  • Created, Validated and executed Tables, Listings, Graphs (TLGs) and analysis data set programs of both Safety and Efficacy.
  • Knowledge of ISS (Integrated Summaries of Efficacy) and ISE (Integrated Summaries of Safety) as per specifications.
  • Working knowledge in the CDISC and MedDRA regulated environment.
  • Excellent skills in statistical analysis and problem solving, familiar with common statistical methods for clinical research and Strong knowledge of Statistical Analysis Plan, Standard Operating Procedures, Protocols of clinical trials.
  • Good Knowledge of Clinical Terminology and Regulatory Guidelines.
  • Excellent hands on preparation of Clinical study Report.
  • Tharough in doing edit checks, validation of analysis data sets, tables and listings.
  • Involved in e-submissions and creating Annotated CRF.
  • Experienced in handling / working on multiple projects and studies.
  • Ability to work effectively both as an individual and in local/global teams.
  • Excellent written and verbal communication skills.
  • Quick learner and hard worker.

TECHNICAL SKILLS

SAS: Base SAS 9.1/9.2.9.3, SAS/MACRO, SAS/SQL, SAS/ACCESS, SAS/STAT.

Environment: Windows XP, UNIX.

​Office tools: MS-Office Suite, Ultra edit.

Database: Oracle, SAP.

PROFESSIONAL EXPERIENCE:

Confidential, Waxhaw, NC

Sr. SAS Programmer

Responsibilities:

  • Understanding the requirements of the application.
  • Worked on phase II and III clinical studies with specific end points.
  • Created analysis data sets, tables, listings and plots according to the specification of the study for statistical analysis.
  • Created analysis datasets based on the guidelines provided in the Data Definition Tables (DDT) and following the CDISC standard. Used SDTM/ADaM for domain creation and CDISCcompliant analysis datasets.
  • Data validation and quality contole check of the displays and data sets according to the different QC guidelines and independent programming.
  • Intigrated data from multiple studies for creation of ISS and ISE as required .
  • Implementing CDISC SDTM and ADAM guidelines according to the provided specificatios.
  • Creation of CDISC specifications for Findings, Events domain.
  • Involved in generation of TLG’s for Integrated Summaries of Efficacy (ISE) and Safety (ISS) for FDA submission.
  • Developed Macros for replacing repetitive codes and used organization provided macros.
  • Involved in creation of transport files for Submission.
  • Developing efficient, well-documented, readily comprehensible and modifiable SAS code using SAS/ Base and SAS/ Macro facility.
  • Supported the team with validation including program validation and independent programming.
  • Maintained and updated existing utilities as per project requirements.
  • Involved in building format libraries for different studies.
  • Actively participated in meetings, gave presentations and involved in knowledge sharing.

Confidential, Rockville, MD

Sr. SAS Programmer

Responsibilities:

  • Reviewing and evaluating the clinical research related programs (Phase I and Phase II data of Clinical Trials).
  • Programming of data listings and data validation tools using SAS.
  • Involved in preparing, developing data, analyzing, coding, report generation and testing programs according to the specifications and client’s requirements.
  • Creating tables, listings and grphs for inclusion in clinical study reports and regulatory submissions.
  • Created the desired Tables, Figures, and Listings according to the Statistical Analysis Plan (SAP) and following the directive of the Programming Manager.
  • Performing the verification of SAS-generated outputs (tables, listings and graphs).
  • Reviewing mock tables, listings, analysis dataset specifications and provided feedback to concerned statisticians.
  • Integrating data from multiple studies for ISS and ISE.
  • Implementing CDISC SDTM Standards.
  • Involved in creating Transport-files for electronic submissions to FDA.
  • Producing high quality graphs through SAS/GRAPH for analytical purposes.
  • Developing routine SAS macros to create tables, graphs and listings for inclusion in Clinical study reports and regulatory submissions; and maintaining existing ones.
  • Assisting the Manager of Programming by validating, researching, and implementing new software and programming processes.
  • Assisted the development, implementation, maintenance, and user support of programming tools and process methodology within the Statistical Programming department.

Confidential, KS

SAS Programmer

Responsibilities:

  • Involved in preparing analysis plan, data analysis and statistical report.
  • Frequently used PROC TABULATE, PROC REPORT, PROC SUMMARY and PROC FREQ.
  • Understood importance of validation (verification/documentation) process in compliance with regulations and policies.
  • Producing the data listings, summary tables and graphs for interim and final analysis and publications.
  • Providing data in SAS transport files, and other appropriate deliverables and documentation for regulatory submissions.
  • Performing the validation programming on clinical trial data using SAS MACROS.
  • Created base macros to run reports and used organization provided macros.
  • Creating standard reports to use across studies and creating base programs to set up data.
  • Using SAS for the pre-processing of data, data analysis, generating reports, statistical analysis, and graphs.
  • Performing quality control (QC) analysis on SAS programs.
  • Documenting and organizing all project data flows and programs.
  • Responsible for implementing and monitoring clinical research trials, tracking study progress, and ensuring data integrity.

Confidential, NJ

SAS Programmer

Responsibilities:

  • Analyzed the clinical trial data for Phase I, II and III study.
  • Created analysis data sets and TLF’s by using SDTM/ADaM datasets.
  • Performed Data analysis, statistical analysis, generated reports, listings and graphs using SAS Tools - SAS/Base, SAS/MACROS, SAS/Graph, SAS/SQL, and SAS/STAT etc.
  • Produced data listings, summary tables and graphics for interim and final analysis.
  • Written MACROS to replace repetitive codes for generating Descriptive statistics.
  • Created SDTM domains from raw datasets as per CDISC standards.
  • Created ADaM datasets from the SDTM domains and generated TLGs.
  • Performed Data Validation and Data Cleaning on Clinical data using procedures like PROC Freq, PROC Means, and PROC Univariate.
  • Worked with statistician to analyze the results obtained from various statistical procedures like PROC ANOVA.

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