Associate Director, Epidemiology Data Analytics

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

Purpose:

The Associate Director, Epidemiology Data Analytics, will provide support to the Global Epidemiology department in Clinical Sciences. The role will provide expertise in real-world data, analysis methods, and programming within Global Epidemiology.  This person will contribute to the design, execution and presentation of pharmacoepidemiologic studies, support characterization of descriptive epidemiology for diseases and indications, contribute to regulatory submissions and responses, and provide input into best practices and initiatives.

This role could be remote within US.

Responsibilities:

• Lead or contribute to the development of new real-world evidence through study design, protocol development, and data/statistical analysis plans using various real-world data such as health insurance claims or electronic health records.
• Manipulate and analyze real-world databases to prepare relevant tables and figures.
• Communicate the results and findings to epidemiologists and cross-functional members as needed.
• Provide epidemiology data to core safety and regulatory documents including, but not limited to, RMPs, PSURs, and Briefing Books.
• Review literature for analytic methodology and coding algorithms related to real-world data
• Contribute to analytic best practices and initiatives.

Qualifications

• Master or Ph.D. degree in Epidemiology, Health Services Research, Pharmacy Administration, Public Health, Biostatistics or related fields. Ph.D. is preferred.
• 7+ years of real-world data analysis experience with a master’s degree or 4+ years of experience with a Ph.D. degree. Pharmaceut