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    Statistical Programmer - North Chicago, United States - AbbVie

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    Description

    Job Description

    Job DescriptionCompany Description

    AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

    Job Description

    Key Responsibilities

    • Responsible for the accuracy of SAS programs by reviewing output, reviewing code, reviewing log files and running all checking utilities.
    • Utilize knowledge of SAS programming concepts.
    • Develop, review and execute code using SAS applications/tools e.g., SAS Enterprise Guide, SAS Studio. Review output to ensure internal consistency with other output for the activity (CSR, ISS, ISE).
    • Follow all department and project standards.
    • Responsible for creating peer review programs for assigned studies.
    • Ensure all SAS programs are imported into the archive system prior to the creation of final output.
    • Ensure clarity, accuracy and consistency of case report forms (CRFs), database definitions, and specifications for analysis data sets for individual studies.
    • Ensure accuracy of database quality assurance checks and assess data accuracy and consistency. Develop database checks for routine situations.
    • Responsible for the creation and accuracy of derivation programs for routine situations, including peer review.
    • Responsible for the creation and accuracy of submission data sets and analysis programs for routine situations.
    • Responsible for the creation of data definition documents and TOCs. Create specifications for Analyst Data Models (ADaM), Study Data tabulation Models (SDTM), and Tables, Listings, and figures.
    • Assist in the development of new processes and ensure all process improvements are implemented.
    • Utilize expertise in the use of the SAS Macros developed for the Statistical Programmers.
    • Participate in the development of new SAS Macros. Maintain expertise in the use of the UNIX utilities developed for the Statistical Programmers.
    • Participate in the development of new UNIX utilities. Work collaboratively with others to develop quality CRFs, databases, reports, publications and regulatory submission.
    • Provide accurate and timely responses to routine requests from clients.
    • Effectively mentor statistical programming peers with regard to functional operations.
    • Coordinate the statistical programming activities for 0-2 early-stage clinical projects in the same therapeutic area.
    Qualifications

    Must possess a Bachelor's degree or foreign academic equivalent in Statistics, Computer Science, or a highly related field of study with at least 2 years of related experience in the following:

    (i) Knowledge of SAS Programming;

    (ii) developing, reviewing and executing code using SAS applications/tools e.g., SAS Enterprise Guide, SAS Studio;

    (iii) knowledge of statistical methodology used for analysis of categorical and continuous variables e.g., linear regression, categorical data analysis, survival analysis, significance testing etc.;

    (iv) experience in the use of the SAS Macros developed for the Statistical Programmers.

    Apply online at Refer to Req ID: REF24416Z.

    Additional Information

    We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.

    AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.



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