The Senior Director of Economic Modeling is responsible for defining and executing the economic modeling strategy to produce high quality health economic models & modeling strategies across Rev Meds portfolio. This is an exceptional opportunity to contribute to the advancement of healthcare by providing evidence that can shape the future of patient care in Oncology. Key Strategic Responsibilities: Lead the development of strategic and operational plans for health economic modeling within Global HEOR & RWE (e.g., early and submission cost-effectiveness / utility models, budget impact models, and country adaptations) while ensuring alignment with Integrated Evidence Plans and appropriate Global stakeholders. Partner with Global HEOR & RWE Executive Directors on core health economic modeling plans to support HTA, payer, and other access stakeholder assessments, submissions, negotiations, including associated value/HTA deliverables and publications to meet business and access objectives. Provide strategic, methodological and analytical leadership to teams and countries for adaptation of economic models for local HTA submissions Lead the development of an approach to monitor, educate and integrate evolving HTA guidelines, payer requirements, and methodologic advancements related to economic modeling. Lead the development of robust governance, compliance, and readiness for all economic modeling activities by adhering to processes, guidelines, and project management standards. Represent Rev Med in global external working groups regarding modeling standards and innovation (e.g., ISPOR Special Interest groups). Key Operational Responsibilities: Support design and development of economic models from start to finish for products across Rev Meds portfolio. Direct statistical analyses of real-world data and clinical trial data (in collaboration with biostatistics) to generate inputs including treatment effects, survival extrapolations, resource use, and health utility estimates. Design evidence synthesis, including network meta-analysis (NMA), and matching adjusted indirect comparisons (MAIC) to inform comparative effectiveness.
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Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree