Barcelona, Spain.
Typically leads in one or two tumour types in the Health Technology Assessment (HTA) and Modelling Science Team, setting individual medicine/indication strategy, giving to methodology development and application, ensuring high quality analytics for use in global HTA submissions, contributing to global publications and developing in-house simulation and modelling tools.
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 customers,
- 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
Education, Qualifications, Skills and Experience
Crucial
- 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 similar quantitative skill
- demonstration
- Master’s degree in relevant field (as above) or substantial equivalent experience
- Experience across multiple tumors and products as well as submission and defense in at least one HTA market
- Shown experience in health economic modelling or similar experience
- 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, decision-making, and how simulation work can impact on wider market access and value communication
- Ability to operate independently with direction as
required
Desirable
- PhD or equivalent experience in a relevant quantitative field
- Previously worked in Pharma (at a local or global level) with launch experience Experience across multiple HTA systems.
- Statistical software / programming coding
- Population adjusted indirect comparisons
- Treatment switching analysis
Key Relationships
- Oncology biometrics (statistics and programming)
- Medical affairs and evidence teams
- Clinical outcomes assessment team
- Health Economics & Payer Evidence and wider
- Oncology Market Access and Pricing (OMAP)
- community
- Marketing Company/local affiliate HTA related
- team
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
50056657
F
CDHE
Oncology
This job ad will be unpublished on 22/02/2025.
This job is posted by AstraZeneca.
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Please mention that you found the role via EuropeanHealthEconomics.com. Thank you and good luck!
