Senior Lead Clinical Modeler-Vaccines

    • Sanofi
  • MORRISTOWN, NJ
  • Posted 6 hours ago | Updated 6 hours ago

Overview

On Site
Full Time

Skills

Mergers and Acquisitions
Research and Development
Decision-making
Public Health
Clinical Trials
Communication
Presentations
Biostatistics
Immunology
Biology
Applied Mathematics
Pharmaceutics
Clinical Research
Modeling
Mathematical Modeling
Statistics
Publications
Epidemiology
NATURAL
Programming Languages
Python
R
Artificial Intelligence
Machine Learning (ML)
Project Management
Research
Management
Science
Promotions
Health Care
Collaboration
Partnership
Military
Cellular
Testing
Law

Job Details

Job Title: Senior Lead Clinical Modeler-Vaccines

Location: Cambridge, MA Morristown, NJ Swiftwater, PA

About the Job

The Global Biostatistical Sciences department at Sanofi Vaccines is seeking to hire a highly talented mathematical, statistical and computational modeling scientist to support its Vaccines R&D portfolio. The Global Biostatistical Sciences group is part of the Vaccines R&D organization. Modeling & simulation brings unique opportunities to inform decision making and streamline the various steps of vaccines discovery and development.

Are you ready to shape the future of vaccines development? Sanofi is committed speeding up vaccines discovery and development to continuously improve public health and patients' life. Your talent could be of deep value in helping our project teams accelerate progress through modelling. Join our team as Senior Lead Clinical Modeler, and you'll actively contribute shaping the future of our vaccines portfolio.

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

Main Responsibilities:

  • Develop complex quantitative vaccine models (e.g.: virtual individuals immune response in different scenarios, correlate of protections, disease epidemiology,...) in close collaboration with multidisciplinary teams to inform and optimize vaccine development.
  • Develop and run in-silico clinical trials in virtual individuals to de-risk, optimize, and accelerate vaccines development.
  • Predict the future through simulations - e.g., Lead the use of models to predict the future trajectory of disease during vaccine trials, including the location, number of cases, peak infections, and duration of transmission and infection in the populations to be studied.
  • Lead the continuous update and refinement of models based on new data and insights from research and real-world results
  • Assessment and prioritization of modeling strategic contribution to ensure quality and timely impact of modeling and simulation work packages.
  • Clear communication of modeling results (e.g., Prepare reports and presentations to communicate model findings to stakeholders, including decision makers.).
  • Bring the implementation of scientific and technological innovations in the area of disease and vaccines impact modeling.


About You

Qualifications

  • Ph.D. degree in a quantitative scientific field such as epidemiology, biostatistics, immunology, computational systems biology, or applied mathematics
  • 7+ years' experience in pharmaceutical clinical research with at least 3 years modelling experience
  • Demonstrated evidence of comprehensive understanding of mathematical modeling techniques, SEIR models, differential equations, compartmental models, and statistical analysis, ideally evidenced by relevant publications
  • Established knowledge of infectious disease epidemiology, including disease transmission, natural history, and control measures. Ability to analyze longitudinal epidemiological data, estimate model parameters, and interpret model outputs
  • Demonstrated proficiency in programming languages (e.g., Python, R) for implementing models and in AI/ML
  • Demonstrate project management skills, customer orientation and influencing skills
  • Build and maintain effective strategic working relationships with internal and external partners to meet business needs.
  • Identify, develop and implement novel methodologies and invest in expanding expertise across clinical, regulatory, and commercial domains
  • Demonstrate ability to stay current with the latest research and adapt to new technologies and methodologies
  • Ability to work independently and collaborate effectively in interdisciplinary teams
  • Ability to effectively communicate model results and recommendations to statistical, clinical, and senior management colleagues


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.

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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
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