Intercontinental Real World Evidence (RWE) Lead

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 Intercontinental (“Intercon”) Real World Evidence Lead will be responsible for collaborating with affiliate, Area, and International teams in driving evidence generation priorities as defined by the Therapeutic Areas (TA) and aligned with the Area Medical VP, co-leading the development, implementation, and improvement of key cross-functional evidence generation capabilities, and providing methodological expertise and leadership.

Fit-for-Purpose Evidence Generation being one of MHI’s Fundamental Pillars, this role bridges Medical Affairs, Health Impact, and other key cross-functional stakeholders including but not limited to Market Access, Epidemiology, Data Science, and R&D Data Convergence, ultimately co-driving the generation of fit-for-purpose RWE. The Real World Evidence Lead will also keep a dotted-line reporting with MHI’s International RWE Center of Expertise (RWE CoE), serving as Intercon’s RWE Lead and fostering all other relevant internal and external networks, supporting the end-to-end evidence generation process, while ensuring alignment with evolving Real World Data/Evidence (RWD/E) guidelines and trends.

Major Responsibilities:

1. Act as the RWE Community Lead for Intercon; champion the understanding and optimal use of primary and secondary real-world data.
2. Partner closely with Intercon Area and Local Evidence Teams to support the end-to-end evidence generation process, with emphasis on evidence planning and optimal real-world study design aligned with strategic objectives.
3. Support Intercon-level implementation of systems, tools, platforms and processes, inclusive of AI resources, related to evidence generation and local and Area evidence plans, aligned with project RACE (Re