Senior Statistical Analyst - Programming - Oncology (Hybrid)

About AbbVie

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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

The Senior Statistical Analyst 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 with lower complexity. The Senior Statistical Analyst interfaces with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities

Leads the statistical programming activities for projects with lower complexity.

Responsibilities

Leads the statistical programming activities for studies.; 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.; Create documentation for regulatory filings including reviewers guides and data definition documents; Leads the development of standard SAS Macros and participates in the development of standard operating procedures.; Provides oversight and mentoring of assigned Statistical Programmers and Statistical Analysts.

Requirements

Bachelors in Statistics, Computer Science or a related field; 8+ years of relevant experience in quantitative analysis (or 6+ with a Masters); Experience with SAS Programming; Experience leading programming for clinical trials; Indepth 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.

Nice to have

Masters Degree in Statistics, Computer Science or related field; R Programming experience; Oncology specific experience