Manager, Statistics (Medical Aesthetics)

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

Key Responsibilities

• Collaborate w/ cross-functional team for the design, statistical analysis & reporting of clinical trials & other scientific research studies.  
• Discuss strategic planning, provide timely updates & obtain consensus with management of different levels.
• Contribute to strategic planning to ensure statistically optimized development plans & assist in the creation of strategic objectives for regulatory filings.
• Identify & anticipate issues arising in the study design, conduct & propose scientifically sound approaches.
• Ensure that study results & conclusions are scientifically sound, clearly presented, & consistent with statistical analyses provided.

Qualifications

Education & Experience

Must have a Master’s degree or foreign academic equivalent in Statistics, Biostatistics, or a highly related field of study & 4 years of work experience performing statistical data analyses in the pharmaceutical or related industry. Of experience required, must have 4 years in each of the following:

1. performing computations & simulations which support drug development & clinical trials in regulated environment;
2. helping strategic planning, developing protocols & statistical analysis plans, identifying data or analytical issues, & assisting with providing solutions by either applying own skills & knowledge or seeking help from others;
3. ensuring accuracy & internal consistency of reports & publications, including tables, listings, & figures utilizing statistical software SAS & R; &
4. utilizing Bayesian Adaptive design & Machine Learning for clinical tri