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SAS Statistical Programmer

NEOSTRIDE LLC

SAS Statistical Programmer

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Position with a Direct Client

    Programmer is responsible for all aspects of the statistical programming process from the extraction of clinical trial raw data through the finalization of project deliverables. This includes the generation of study-specific and ad-hoc clinical data listings, summary tables and figures.

    Essential Duties/ Responsibilities • Leads project level activities • Performs data analysis primarily using the SAS programming language for the summary and interpretation of clinical trial data • Creates CDISC SDTM and ADaM files, SAS export files and Definexml use for Electronic Submission from the data received, in non-standard form, from various sources • Performs Data analysis, statistical analysis, generates safety and efficacy tables, listings and graphs using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL and SAS/ODS • Acts as a liaison between statistical programming, subcommittees and project teams as needed • Works closely with Biostatistics to create analysis files specifications following the instructions provided in Statistical Analysis Plan (SAP) • Creates/acquires tools to improve programming efficiency or quality • Establishes monitoring of data transfers for ongoing trials to identify study conduct or data quality issues

    Requirements • Ability to use professional concepts to achieve objectives in creative and effective ways • Experience in the analysis of complex Oncology clinical trial data • Solid knowledge of CDISC standards (SDTM & ADaM) Education/ Training • Bachelor/Master degree in Statistics, Life Sciences, Computer Sciences, or Mathematics with a minimum 8 years Pharmaceutical/Biotech programming experience • Experience working with Oncology trials required • NDA submission experience is a plus • Strong SAS programming and Statistical background along with experience with SAS Base, SAS/Macros, SAS/Graph and SAS/Stat