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AbbVie Future Opportunities - Join our Talent Pipeline for Statistical Programming - R&D Data Sciences and Statistics (Remote) in Mettawa, Illinois

Company 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 www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Thank you for considering a future opportunity with our company! We are not currently hiring for this specific role, but we would love to connect with talented individuals who are interested in potential future positions. By joining our talent pipeline, you will be the first to be notified when suitable opportunities arise.

In this talent pipeline requisition, we are not actively recruiting for this position at the moment. However, we are building a network of exceptional individuals who possess the skills and experience required for future openings. By submitting your application to this requisition, you will be added to our talent pipeline and considered for future opportunities.

Statistical Programming is a part of the Data Sciences and Statistics group, which is a key role in the research and development of new pharmaceutical products. The primary responsibilities for this role include the analysis and reporting of clinical trial data and leading the statistical programming activities for clinical studies and projects. The Statistical Programming team interfaces with key stakeholders (i.e. Statistics, Clinical Data Strategy & Operations, Medical Writing, Regulatory Publishing and Development Operations.)

Responsibilities include the following:

  • Lead the statistical programming activities for projects varying in complexity.

  • Lead the statistical programming activities for studies.

  • Create documentation for regulatory filings including reviewers guides and data definition documents.

  • Lead the development of standard SAS Macros.

  • Provides oversight and mentoring of assigned Statistical Programmers and Statistical Analysts.

  • Develop SAS programs for the creation of ADaM data sets following CDISC standards.

  • Develop SAS programs for the creation of Tables, Listings and Figures.

  • Validation of ADaM data sets, Tables, Listings and Figures.

  • Create specifications for the structure of ADaM data sets for individual studies and integrated data.

  • Participate in the development of standard operating procedures.

Qualifications

Statistical Programming encompass the following titles, which vary based on years of experience and leadership experience. (Statistical Analyst, Senior Statistical Analyst, Manager, Statistical Programming)

The Statistical Analyst, Senior Statistical Analyst, and Manager, Statistical Programming roles can be based remotely within the US.

Qualifications for Statistical Analyst:

  • MS in Statistics, Computer Science or a related field with 2+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 4+ years of relevant experience.

  • Demonstrated practical understanding of SAS programming concepts and techniques related to drug development.

  • Basic understanding of CDISC Standards.

  • Basic understanding of the drug development process.

  • Ability to communicate clearly both oral and written.

Qualifications for Senior Statistical Analyst:

  • MS in Statistics, Computer Science or a related field with 5+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 7+ years of relevant experience.

  • In-depth understanding of SAS programming concepts and techniques related to drug development.

  • Fundamental understanding of CDISC Standards.

  • Fundamental understanding of the drug development process, including experience with regulatory filings.

  • Ability to communicate clearly both oral and written.

  • Ability to accurately estimate effort required for study related programming activities.

Qualifications for a Manager, Statistical Programming:

  • MS in Statistics, Computer Science or a related field with 8+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 10+ years of relevant experience.

  • Previous experience leading a team of statistical programmers.

  • In-depth understanding of SAS programming concepts and techniques related to drug development.

  • In-depth understanding of CDISC Standards.

  • In-depth understanding of the drug development process, including experience with regulatory filings.

  • Ability to communicate clearly both oral and written.

  • Ability to effectively represent the Statistical Programming Organization in cross functional teams.

  • Ability to accurately estimate effort required for project related programming activities.

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 an equal opportunity employer and 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. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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