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    Clinical SAS Programmer - Cambridge, United States - Katalyst Healthcares & Life Sciences

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    Contract
    Description
    Responsibilities:
    • The SAS Programmer is responsible for developing and executing biostatistical (SAS) and data management related programs, processing data from various sources to support clinical and pharmaceutical projects and will include defining populations, creating variables, developing various statistical models, program debugging, as well as supporting model implementation.
    • The successful candidate will develop tools and techniques and perform periodic exploratory data analysis, program/process efficiency and quality assurance testing as required.
    • Provide data analysis support, develop, validate and generating, using SAS program, files, tables, listings and figures for clinical project reports and integrated analyses, as well as developing program statistical tests/techniques as required when not available in SAS.
    • Regularly perform peer program quality reviews, identifying gaps and/or errors in functionality, result quality and/or efficiency
    • Act as subject matter expert, working in conjunction with Statisticians to provide advice and guidance to project teams and other stakeholders in statistical programming development and testing.
    • Database Testing and Reporting
    • Create project database converting database sets, reviewing for variable attributes, testing, and validating database.
    • Reviewing, signing off and transferring of data from external sources ensuring data is received, validated and secure.
    • Produce regular, accurate and user-friendly output discrepancies reports for stakeholders in accordance with project specifications.
    • Document, organize and maintain SAS macros program library, ensuring easy access for future use.
    • Review, identify and where appropriate utilize existing SAS macro programs to improve efficiencies throughout the project life cycle.
    Qualifications:
    • Applicants should have a minimum of 1 to 3 years of related work experience, as well as a minimum of an undergraduate University degree in a relevant field of study preferably in Computer Science or Statistics
    • The successful candidate must exhibit the following skills: self-motivation with strong communication skills and a commitment to achieving positive results.
    • Strong attention to detail and keenness to understand the importance of building collaborative relationships to achieve results.
    • Ability to engage in continuous learning and self-development.
    • Ability to continually foster teamwork.


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