Director, Modeling & Simulation
$176,400–$327,600 year
Hybrid · Cambridge, Massachusetts, United States
Job Summary
Lead and develop a high‐performing Modeling & Simulation team focused on disease modelling to support portfolio decision making across the Novartis pipeline. Define and execute disease modelling strategies aligned with priorities; develop and apply mechanistic models (e.g., QSP, systems biology, integrative PK/PD‐disease frameworks) to understand disease progression, variability, and response to intervention. Drive portfolio impact by modelling to support target selection, indication prioritisation, competitive differentiation, and probability of technical success. Collaborate with PKS and Translational Medicine leadership to shape scientific priorities and ensure alignment with broader M&S strategy. Establish and evolve modelling platforms, workflows, and best practices for cross‐disease applicability; integrate diverse data sources (preclinical, clinical, omics, external data) to enable robust, predictive models. Lead or contribute to cross‐functional initiatives adopting innovative approaches (e.g., AI‐enabled methods, digital twins where relevant). Drive scientific excellence and continuous improvement, ensuring state‐of‐the‐art methodologies and strengthening capabilities; contribute to publications, consortia, and collaborations to advance Novartis leadership in disease modelling. This is a hybrid role with onsite time in Cambridge, MA; salary range specified with performance‐based incentives and potential equity eligibility.
Required Qualifications
- Ph.D. in biology, bioengineering, pharmaceutical sciences, biophysics, or a related field
- 10+ years of relevant postdoctoral, academic, industry, or government experience with leadership and individual contributor roles in disease modeling, pathway modeling, quantitative pharmacology, systems pharmacology, or mechanistic modeling
- demonstrated leadership experience including building and developing teams and delivering through both direct reports and matrix environments
- proven experience applying mechanistic or systems-level disease models to inform portfolio or program decisions
- strong understanding of drug discovery and development and how modelling informs key transitions from discovery to clinical development
- ability to translate complex modeling outputs into clear, actionable insights for decision-makers
- track record of scientific innovation and development or application of new methodologies, platforms, or modeling approaches
- excellent communication and stakeholder engagement skills across scientific and clinical disciplines
- established credibility in the M&S or quantitative pharmacology community (e.g., publications, collaborations, or scientific leadership)
- fluent in English (oral and written)
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