PRAHS

  • Senior Statistical Programmer

    Job Locations (All) | US-PA-Blue Bell | US-PA
    Posted Date 3 days ago(12/14/2018 8:03 AM)
    ID
    2018-46931
  • Overview

    Applies industry and regulatory standards to create and maintain standardized databases for clinical trial data.

    Responsibilities

     

    • Programs statistical analyses (via analysis datasets, tables, figures, listings, etc.) using an appropriate statistical analysis systems (i.e. SAS®).
    • Ensures the accuracy and consistency of data flow from case report forms (CRFs) and database definitions, through to specifications for analysis datasets.
    • Performs quality review of analysis dataset and TFL programs developed by other programmers and biostatisticians.
    • Verifies that statistical analysis system programs and associated documentation are archived prior to the creation of final output.
    • Develops new processes and  ensures all process improvements are implemented.
    • Takes a lead role in the review of statistical analyses plans and provides essential feedback.
    • Collaborates with other team members to develop quality reports, publications, and regulatory submissions.
    • Maintains libraries of documented and validated programs, macros, and procedures which can be reused to aid in DMC programming efficiency.
    • Serves as the chief mentor to other DMC programmers.
    • Demonstrates expertise in industry programming standards.
    • Contributes to DMC unit initiatives.

    Qualifications

    • Bachelor’s degree in a quantitative or scientific field required. 
    • Minimum of 5 years of statistical programming experience desired. 
    • Knowledge of SDTM, ADaM, and TFL programming required. 
    • Experience with DMC is desired. Must have a thorough understanding of data. Expertise in unblinding the data is desired. 
    • CRO or pharma experience is desired. 
    • Prior experience mentoring more junior level team members is desired. 

     

    PRA is an EEO/AA employer and is committed to providing opportunities to minorities, women, veterans and individuals with disabilities.

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