Director, Statistics - Oncology
AbbVieAbout the role
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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Job Description
The Director, Statistics provides scientific and statitical leadership for assigned clinical development projects. This is a visible and collaborative role and the Director works in partnership with clinical and regulatory experts to advance medicines to our patients.
This position will work a hybrid 3 day work schedule from one of the following AbbVie locations:
- South San Francisco, CA
- Lake County, IL
Responsibilities:
- Lead the statistical support for one or more clinical development projects through own efforts or those of a team. Lead/develop statistical strategy for project development and regulatory submission.
- Direct or provide statistical leadership for design, analysis and reporting for clinical or other scientific research programs. Lead the development of protocols, statistical analysis plans, and statistical programming plan.
- Represent function/department on project team(s) to provide statistical input to compound/drug development and drive alignment with functional management. Partner with other functions (Clinical, Regulatory, Patient Safety, or GMA) to create development strategies for assigned projects. May represent DSS on data monitoring committees. Build interdepartmental relationships.
- Demonstrate extensive understanding of statistical concepts and methodology. Propose novel statistical methodological approaches to design of scientific studies. Provide sufficient detail to allow programming implementation. Ensure that all statistical analyses specified in scientific protocols and analysis plans are conducted appropriately.
- Guide development and implementation of project-specific data
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