Lead Clinical Modeler- Vaccines

Role Summary

Lead Clinical Modeler – Vaccines. Location: Swiftwater, PA; Cambridge, MA; Morristown, NJ. The role leads development of quantitative vaccine models to inform decision making across the vaccines R&D portfolio, collaborates with multidisciplinary teams, and drives model updates as new data become available.

Responsibilities

• Develop complex quantitative vaccine models (e.g., virtual individuals' immune response in different scenarios, correlation of protections, disease epidemiology) in close collaboration with multidisciplinary teams to inform and optimize vaccine development
• Develop models to predict the future trajectory of disease during vaccine trials, including location, number of cases, peak infections, and duration of transmission and infection in the study populations
• Lead the continuous update and refinement of models based on new data and insights from research and real-world results
• Communicate modeling results clearly, including preparing reports and presentations to communicate model findings to stakeholders, including decision makers
• Implement scientific and technological innovations in the practice of model-informed vaccine development

Qualifications

• Ph.D. degree or equivalent experience in a quantitative scientific field such as epidemiology, biostatistics, immunology, computational systems biology, or applied mathematics
• 5+ years' experience in pharmaceutical clinical research (2+ years of that experience in infectious disease or vaccines and 1+ years modelling experience preferred)
• Strong understanding of mathematical modeling techniques, SEIR models, differential equations, compartmental models, and statistical analysis
• Working 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
• Ability to stay current with the latest research and adapt to new technologies and methodologies
• Apply standard processes to tasks to ensure that deliverables are accurate, high quality and meet agreed timelines
• Demonstrate customer orientation and influencing skills
• Communication: Ability to effectively communicate model results and recommendations to statistical, clinical, and senior management colleagues