Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. Role Description Provides strategic development and use of industry-leading predictive and economic models to enhance our understanding of disease and to quantify and communicate the value of our products to patients, providers, and payers Scientifically responsible for the design and implementation of cost-effectiveness and budget impact models to evaluate the economic impact and value of health care interventions in order to support the market access strategy for SANOFI portfolio. Ensure timely availability of complex and/or simple clinical, economic models that meet the needs of payers Consult with HEVA Business Partners and Value & Access and to determine what models are required and by when. Undertake ‘what-if’ modeling to help with product strategy/development decisions Provide guidance to individual markets with respect to model adaptation Support countries for local HTA submissions Conceptualize advanced model design Work on methodological aspects of modeling Get involved in analyzing prospectively collected health economic data for inclusion in models Manage directly external vendors supporting any modeling work and will be accountable for any development and validation work required Interact with Pricing, external advisors Lead the Economic Platform workstream related to projects allocated Reports to the Modeling Head within the Global HEVA function About Sanofi We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
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Job Type
Full-time
Career Level
Senior