Director, HEOR Modeling Lead

Job Title : Director, HEOR Modeling Lead

Location

Cambridge MA or Morristown, NJ

About the Job

We are an innovative global healthcare company, committed to transforming the lives of people with immune challenges, rare diseases and blood disorders, cancers, and neurological disorders. From R&D to sales, our talented teams work together, revolutionizing treatment, continually improving products, understanding unmet needs, and connecting communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

As the Modeling Lead for Dupixent Dermatology within our Modeling Team, you will spearhead the development and utilization of industry-leading predictive and economic models. Your primary focus will be enhancing our understanding of dermatologic diseases and quantifying Dupixent's value for patients, providers, and payers. You'll be responsible for designing and implementing cost-effectiveness and budget impact models to support SANOFI's market access strategy, ensuring timely availability of clinical and economic models that meet payer needs. Collaborating with HEVA Business Partners and Value & Access teams, you'll conduct 'what-if' modeling, provide guidance on model adaptation, and support local HTA submissions.

In this role, you'll conceptualize advanced model designs, analyze health economic data, and manage external vendors for modeling work. Interacting with Pricing teams and external advisors, you'll lead the Economic Platform workstream for your projects. Reporting to the HEVA Analytics Head within the Global SPC HEVA function, you'll be at the forefront of Dupixent's economic modeling efforts in dermatology, significantly contributing to its market success and patient impact.

Main Responsibilities :

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

About You

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 8 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

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

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.

Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.

Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

GD-SA

LI-SA

LI-Onsite

vhd

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.