HTA & Modelling Science Director

About the role

AstraZeneca is looking for a Director to join its global oncology Health Technology Assessment (HTA) and Modelling Science (HMS) team in Barcelona. The role supports HTA strategy and submission work, translating data into evidence for HTA bodies and payers worldwide, and helps develop, evaluate and communicate patient and economic value. It sits within the expanding oncology portfolio and the upcoming Joint Clinical Assessment (JCA).

Key responsibilities

• Develop the strategic approach and deliver health economic models for HTA submissions worldwide, including model specification documents, Excel (and/or R-based) models, reporting, training and dissemination, and support for marketing teams.
• Act as the main point of contact for guidance and support on health economic deliverables.
• Apply novel modelling methods such as surrogacy methods, survival and regression analyses.
• Extend HTA methods beyond market access to support wider cross-functional decisions (medical and commercial).
• Lead the development of HMS tools, guidance documents, internal initiatives and external publications.
• Support quality assurance of the team's work, projects led by external vendors, global standards, best practice and metrics, and manage vendor-led modelling projects.
• Build partnerships with cross-functional partners.

Required profile

• Bachelor's or post-graduate degree in economics, health economics, statistics/biostatistics, mathematics or an equivalent quantitative degree with a statistical component.
• Minimum 5 years of experience in consultancy or industry applying modelling expertise to support HTA submissions.
• Proven experience contributing to HTA submissions and answering questions in at least one HTA market.
• Strong communication skills and the ability to work independently and as part of a team.

Required skills

• Expert knowledge of economic modelling and budget impact analysis, including hands-on model development in Excel.
• Understanding of statistical principles used in HTA, including evidence synthesis, clinical trial analysis and analysis of large datasets.
• Desirable: experience with indirect treatment comparisons, R, SAS or similar software, knowledge of evolving global HTA methods, and experience using generative AI to support health economic models.

What we offer

• A role that directly influences HTA outcomes and patient access.
• A learning culture covering technical, business and leadership skills, with opportunities to shape methods and gain recognition.
• An inclusive, supportive team in a new, modern office in Barcelona.