This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Summary In this role, you will work closely with PKS M&S;, Therapeutic Areas, and multidisciplinary teams to develop and apply quantitative disease models that inform key scientific and development decisions. You will contribute to the development of mechanistic disease models, support model-informed insights, and help embed disease modelling approaches across programs from discovery through early clinical development. About the Role Key responsibilities: Contribute to the development and application of mechanistic disease models (e.g., systems biology, QSP, PK/PD-disease models) to understand disease progression and response to intervention. Support end-to-end modelling activities, including data curation, model development, calibration, qualification, and simulation. Work with cross-functional teams (biology, PKS, clinical, and data science)



to translate biological and clinical questions into modelling approaches. Integrate diverse data sources (preclinical, clinical, and literature) to support development of predictive disease models. Generate simulations and analyse model outputs to support decision-making in discovery and early development. Clearly communicate modelling results and insights to multidisciplinary project teams. Support the application of disease models in areas such as target validation, biomarker understanding, and study design. Contribute to establishing and improving modelling workflows, tools, and best practices within the team. Stay informed on advances in disease modelling, quantitative pharmacology, and related fields. Participate in internal knowledge-sharing and contribute to scientific reports, presentations, and, where appropriate, publications. Essential requirements Ph.D. (or MSc with relevant experience) in biology, bioengineering, pharmacology, applied

📌 Principal Scientist I, (India)
🏢 Novartis
📍 India