Intercontinental ; RWE Lead
Job in
Greenlawn, Suffolk County, New York, 11740, USA
Listing for:
Allergan
Full Time
position
Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst
-
Management
Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly
USD
150000.00
200000.00
YEAR
Job Description & How to Apply Below
Position: Intercontinental Real World Evidence (RWE) Lead
Location: GreenlawnCompany Description
Abb Vie'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 Abb Vie, please visit us at Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In 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:
Act as the RWE Community Lead for Intercon; champion the understanding and optimal use of primary and secondary real‑world data.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.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 (Real World Evidence Activation for Communication Excellence) recommendations and guidance. Importantly, identify Convergence internal and external data opportunities and collaborate with R&D and technology teams to advance complex, innovative research projects.Partner with MHI's RWE Center of Excellence to establish, co‑lead, and sustain international and Intercon‑focused RWD/E networks and forums. This includes, but is not limited to, pan‑TA and TA‑specific RWE Community Forums, as well as the International Evidence Network—aligned with agreements made with the Area Medical VP and Intercon TA Heads and Leads.Work collaboratively with Intercon Medical Operations team to ensure timely strategic alignment and technical reviews by relevant Strategic Review Forums (SRF) and Scientific Review Committees (SRC).Deliver training to all levels of the Intercon MHI organization and key cross‑functional stakeholders and highlight available resources, as aligned with the Area Medical VP and MHI’s RWE CoE.Represent Intercon as RWD/E Subject Matter Expert (SME) in relevant internal evidence generation work streams and signature projects, including as Senior Scientific Member for Intercon’s Area Review Committee (ARC).Promote Intercon MHI and relevant cross‑functional stakeholders’ awareness, knowledge and acquisition of RWD sources, addressing priority evidence gaps.Evaluate and engage with external vendors/data owners for new evidence generation opportunities.Collaborate with relevant internal teams and working groups (e.g., Data Strategies and Partnership, Epidemiology, Convergence C‑DAP, Regulatory Policy Intelligence, etc.) in driving proactive RWD/E‑focused academic partnerships and external collaborations, aligned with Intercon’s evidence generation priorities.Stay current with external Regulatory, HTA, Policy Makers and other relevant stakeholders and academic/scientific groups’ RWD/E…
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