Associate Principal Scientist, Health Economic and Decision Sciences

Role: Associate Principal Scientist in Oncology health economic modeling within the Health Economic and Decision Sciences team. The primary focus is developing predictive and economic models to assess the value of oncology products across all development phases, supporting market access and health policy decisions. Responsibilities include leading modeling efforts, utilizing diverse data sources (clinical, real-world, published), collaborating with internal and external stakeholders, and disseminating findings through publications and presentations. The role involves maintaining global health economic models, providing training, and integrating innovative methodologies. Qualifications: PhD (preferred) or Master’s in Health Economics, Biostatistics, or related quantitative field; extensive experience in health economics and outcomes research, especially on oncology drugs; proven track record in economic modeling, HTA submissions, and scientific publications. Skills include data management, health economic evaluation, stakeholder engagement, and strategic planning. High-value specifics include focus on oncology therapeutics, data-driven decision support, and interaction with health technology assessment bodies. The position offers hybrid work setup with some travel (~10%), flexible locations (PA, NJ, MA, UK, Switzerland), and reports to a Senior Director.