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Sas Statistics Programmer Resume

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Wallingford, CT

SUMMARY

  • Seven years SAS programming with five years pharmaceutical experience, particularly experienced on oncology projects from Phase I to Phase III clinical trials study
  • Certifications for SAS Advanced Programming, especially SAS Macro and Proc SQL. Working on PC and UNIX platform
  • Data Management and Generated deliverable Table, Listing, code testing, debugging, validation, and documentation
  • Communicating with Statistician, Clinical Scientists, Data managers and other colleagues and good personality
  • Knowledge of CDISC, CRF, ASP, DPP, and Oracle database
  • Graduated from Medical School in China with clinical background and worked many years in labs with strong molecular biology knowledge and skills

TECHNICAL SKILLS

  • SAS step
  • Macro
  • ODS and proc SQL
  • Word
  • Excel
  • Access and PowerPoint
  • Oracle PL/SQL
  • HTML and Java

PROFESSIONAL EXPERIENCE

Confidential, Wallingford, CT

SAS Statistics Programmer

Responsibilities:

  • Lead programmer for completing a phase II trial of Neoadjuvant Paclitaxel and Cisplatin with patients who have locally advanced Head and Neck cancers (384).
  • Lead programmer for completing Oral Taxane phase I/II clinical trial (012/017/026/030 ) and responsible for phase II clinical trial study (01/02/03).
  • Responsible programming and validation for a phase II trial to determine Dasatinib dose in Chronic Myelogenous Leukemia (CML) (160) and a phase III trial of Dasatinib vs. Imatinib study in newly diagnosed CML (056) and two phase III trial of a randomized two/four - arm Dasatinib in CH CML, AP CML vs MyBP CML vs LyBP CML or Ph+ ALL (034/035).
  • Validating Ixabepilone phase III clinical trial study and Dasatinib phase I-III clinical trial study and others study by using Proc SQL.
  • Validating EMBARC report by standard SAS programming that combine sql with macro language
  • Communication: Talk with statistician and clinical scientist to understand the Case Report Form (CRF) and make sure Statistical Analysis Plan (SAP), Data Presentation Plan (DPP), dataset specification. Talk with other colleagues to share the pressure.
  • Datasets: Extracted Oracle clinical raw data and convert to analysis data, create common datasets (demodb, dosmodb) and specific datasets (significant and relevant deviations). Make the data review listings to find abnormal data.
  • Table/Listing: Based on SAP to make deliverable tables and listings by table fs macro plus own macro, ODS, Procedures. Testing and debugging for each programming file. Upload into web for review.
  • Validation: Make sure datasets, tables and listings are right numbers and formats. Programming by Proc SQL, Base/Advanced SAS step and own macro.
  • Documentation: Convert datasets to transport data (xpt file) and comparison it with analysis datasets. Check the xpt datasets size and variables to fit the FDA requirement. Reports transfer from Unix system to PC and convert to word files and then save into PRISM.
  • Prepare the annual report and data presentation.
  • Other: Worked on Unix/Window SAS system. Good window program user for documentation. Good personality.

Confidential, Cheshire, CT

SAS Programmer

Responsibilities:

  • Converted raw data to SAS data set. Validation for cleaning data.
  • Data preparation: maintain, edit, update, and debug.
  • Created tables and listing reports by SAS/Base, SAS/Macro, and proc SQL.
  • Documentation: convert word files to PDF files and finalized report for FDA submissions.

Confidential, New Haven, CT

Program Analysis I

Responsibilities:

  • Data searching, downloading and convert to SAS data sets.
  • Data cleaning.
  • SAS programming by SAS/Base.
  • Analysis by Proc mean/univariate, freq, plot, tabulate, and report.
  • Report maintain, update and confirmation.

Confidential, New Haven, CT

Senior Research Associate

Responsibilities:

  • Protein expression/production by Baculovirus System.
  • Sequences data conforming and data management.
  • Webpage design and maintain by HTML, Java/Oracle.

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