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Purpose:
- Leading evidence modelling teams to design and execute evidence-synthesis, health economic models.
- Applying methodological and analytical expertise to predict the value of AbbVie products.
- Developing strategies on how best to demonstrate this to external payer decision makers.
Responsibilities:
- Providing strategic, methodological, and analytical support to affiliates with adaptation of the Global Models.
- Coordinating data requirements across biostatistics and evidence generations functions.
- Leading evidence modelling teams to source affiliate and other stakeholder needs.
Qualifications:
- Advanced degree in Health Economics, Epidemiology, Statistics, Biostatistics, Public Health, Econometrics, or other related field.
- At least 8 years relevant experience in consultancy or pharmaceutical industry in Evidence-synthesis, Health Economics, Health Technology Assessment, or related area.
- Expert knowledge of both health economics and evidence-synthesis disciplines as relevant to HTA, pricing, reimbursement, and value assessment.
AbbVie
AbbVie discovers and delivers innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. They strive to have a remarkable impact on people’s lives across immunology, oncology, neuroscience, and eye care areas.