Hta & Modelling Science Lead
hace 1 semana
**Location: Barcelona, ES**
**Typical Accountabilities**:
- Develops strategic approach and delivery of HTA modelling and simulation tools for assigned medicine (including network meta analyses (NMA), population-adjusted and standard indirect treatment comparisons (ITC), utility analyses, survival analysis, and other advanced analytics used for HTA and wider market access)
- High level of interactive communication and influencing cross-functional partners and external stakeholders, understanding the payer and industry perspective to developing and implementing innovative HTA methods and solutions to complex problems.
- Recognises and applies the value of HTA techniques to inform market access and wider cross functional decision-making
- Co-develops the HTA & Modelling Science publication strategy for specific tumours, working with Health Economic and Payer Evidence (HEPE) and other cross functional partners, along with authoring publications
- Provides leadership and input to internal HTA & Modelling science guidance documents
- Develops the Payer Analysis Plan strategy and analytic approaches to payer questions and challenges
- Provides input to quality assurance of modelling and simulation work, contributing to global standards, best practice, and metrics
**Essential Requirements**:
**Education**:
- Bachelors’ degree in mathematical sciences (e.g. mathematics, statistics, operations research, engineering) or quantitative social sciences (e.g. economics, health economics, health services research) or equivalent quantitative skill demonstration
- Master’s degree in relevant field (as above) or substantial equivalent experience
**Experience**:
- Experience across multiple tumors and products as well as submission and defense in at least one HTA market
- At least 5 years of experience in health economic modelling or similar relevant experience
**Skills and Capabilities**:
- Experience in oncology health economic modelling, survival analysis, utility analyses, and NMAs and Bayesian analyses.
- Advanced Excel user, including VBA
- Technical knowledge of the changing HTA requirements globally and how to deliver against these
- Strong skills in communication, influencing, handling complexity, independent decision-making, and how simulation work can impact on wider market access and value communication
- Ability to operate independently with direction as required.
**Desirable**:
**Education**:
- PhD in a relevant quantitative discipline
**Experience**:
- Previously worked in Pharma (at a local or global level) with launch experience
- Experience across multiple HTA systems
**Skills and Capabilities**:
- Statistical software / programming coding
- Population adjusted indirect comparisons
- Treatment switching analysis
- Can represent the Company externally
**Why AstraZeneca?**
Here we are committed to making a difference. We have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs. Thrive in a place where the brightest and most curious minds seamlessly come together in our inclusive environment
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