Modeling Lead

Job Title:

Modeling Lead Global HEVA (Health Economics & Value Assessment)

Location:

Cambridge, MA / Morristown, NJ

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.

• Provide 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 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 and work on methodological aspects of modeling.
• Get involved in analyzing prospectively collected health economic data for inclusion in models.
• Manage external vendors supporting modeling work and be accountable for any development and validation work required.
• Interact with Pricing and external advisors.
• Lead the Economic Platform workstream related to projects allocated.

We’re an R&D‑driven, AI‑powered biopharma company committed to improving people’s lives and delivering growth through innovative medicines and vaccines that treat and protect millions worldwide.

• Provide visionary and creative leadership for Global HEVA Economic Modeling group concerning Sanofi developmental and in‑line product portfolio.
• Ensure that the development of economic models (Cost‑Effectiveness and Budget Impact) are done in a timely manner and to high standards of quality and rigor.
• Advance the use of integrated quantitative approaches, focusing on economic, disease, and predictive modeling and simulation in partnership with other internal groups and external organizations.
• Lead early economic modeling for strategic input to development design and pricing strategy.
• Keep abreast of trends in Modeling research and HTA/Payers environment.
• Actively participate in the discussion to advance modeling methodology in the HEOR community.
• Build and maintain strong relationships with cross‑functional teams as well as external vendors.
• Communicate complex health economics concepts into actionable messages for business‑critical decisions.

• Master’s Degree in Statistics and/or Health Economics.
• Additional PhD in Economics, Health Economics, (Pharmaco) epidemiology, or related field is a plus.
• Proven track record (at least 5 years) in HEOR disciplines incl. data analyses, health economic methodology and modeling, medical and statistical scientific methodology, scientific publication record, decision modeling, input to clinical trials / observational studies.
• Experience in design and successful execution of state‑of‑the‑art modeling techniques (incl. mathematical modeling).
• Proven track‑record in constructing and using models for internal decision‑making and use with payers.
• Documented experience having initiated and delivered health economic models (from cost‑effectiveness to budget impact models) and tools to support country reimbursement and access in Europe, US and other Asian markets.
• Documented experience in early modeling for internal decision‑making supporting portfolio strategy.
• Experience working across several therapeutic areas, including rare disease.

• English fluent, both written and oral.
• Clear understanding of the use of models within different payer contexts.
• Strong familiarity with methods acceptable to payers.
• Knowledge of data analyses and health economic methodology.
• Understanding of medical…