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 ProgrammerResponsibilities:
- 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.