Director, HEVA (HEOR) Modeling Lead

Role Summary

Director, HEVA (HEOR) Modeling Lead located in Cambridge, MA or Morristown, NJ. You will lead the development and application of predictive and economic models to quantify the value of our products and inform market access strategies. You will oversee model design, validation, and collaboration with HEVA partners and external vendors to deliver timely, high-quality analyses across therapeutic areas.

Responsibilities

• 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
• 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
• Monitor the latest developments in the area of health economic modeling
• Actively participate in the discussion to advance modeling methodology in the HEOR community

Qualifications

• Degree in Statistics and/or Health economics
• Additional PhD in Economics, Health Economics, (Pharmaco)epidemiology, or related field is a plus
• Preferably combined with a degree in public health or related field
• Proven track (at least 5 years) record 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 (Australia, Taiwan, Japan etc.)
• Experience working across several therapeutic areas

Skills

• 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 and statistical scientific methodology
• Understanding of health utility assessment
• Excellent organizational and communication skills, both written and oral, with attention to detail
• Ability to communicate technical details to non-expert audiences
• Ability to communicate effectively the methods and results of complex analyses to a range of audiences, both orally and in writing with peers, senior managers and internal customer
• Understanding of research principles and familiarity with key aspects of the literature
• Strong customer focus & team spirit
• Strong analytical/ statistical skills/ synthesis of quantitative data are essential
• Project management experience