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Location: Barcelona - Spain (3 days working from the office and 2 days working from home) Are you a passionate health economic modeller? Do you love the application of health technology assessment (HTA) methodology to translate data into evidence to...
Location: Barcelona - Spain (3 days working from the office and 2 days working from home)

Are you a passionate health economic modeller? Do you love the application of health technology assessment (HTA) methodology to translate data into evidence to inform better decision-making? Would you like to apply your experience in a company that follows the science and turns ideas into life changing medicines? Then come and join us!

Working at AstraZeneca means being seeing the picture and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world.

The Global Market and Access Pricing (GMAP) team at AstraZeneca are creating a new Centre of Excellence for HTA Statistics and Modelling Science at our global Barcelona hub to meet the needs of our growing pipeline and the external environment. We have exciting opportunities for experienced health economic modellers and applied HTA methodologists to join our HTA and Modelling Science (HMS) team at either a Lead or Director level.

GMAP covers a diverse range of therapeutic areas including Cardiovascular, Renal & Metabolism, Respiratory & Immunology, and Vaccines & Immune Therapies. As part of a multi-disciplinary group, including HTA statisticians, payer evidence experts and market access specialists, you will be helping us to shape the payer environment, creating and delivering high quality health economic models to help us unlock the potential of our life-changing medicines for patients around the world.

What You’ll Do

In this role, you will lead the development of high-quality health economic models, that meet the requirements and expectations of HTA agencies and policy decision-makers to support patient access to our innovative medicines. With the growing use of HTA, including the upcoming Joint Clinical Assessment in Europe, you will play an important role in shaping what we do and how we do it. By being at the forefront of methodology and innovation in the field, you will help us position the Centre of Excellence for HTA Statistics and Modelling Science as a collaborative, reputable, and trusted expert group among HTA, policy and academic stakeholders.

Development of our people is very important to us. As part of our new Centre of Excellence, there will be opportunities to learn and further develop skills, as well as spread your knowledge and increase the overall capabilities in the organisation.

For Our Lead Role, You Should Have

  • Expert knowledge and ability to develop end-to-end decision-analytic models, such as cost-effectiveness and budget impact models fit for submission to reimbursement agencies.
  • Significant experience modelling in multiple packages (e.g., Excel and creation of VBA codes or R), while keeping at abreast with cutting edge modeling approaches
  • Expert knowledge of global HTA systems and subject-matter expertise to unlock modelling challenges and propose methodologically sound, pragmatic, and agile solutions to the team.
  • Excellent verbal and written communication skills to present to various audiences and develop technical documents like model protocols or model reports and engage with HTA bodies to address model-related queries.
  • Excellent collaboration and interpersonal skills to be able to integrate in a Global cross-functional matrix to deliver objectives and ensure alignment with relevant internal and external stakeholders.
  • Substantial experience interpreting clinical data and collaborating with statisticians to deliver trial analyses required to parameterise health economic models.
  • Strong understanding and experience of the methods and application of indirect treatment comparisons in health economic models
  • Degree in relevant field such as quantitative social sciences (e.g. economics, health economics, health services research), mathematical sciences (e.g. mathematics, statistics, operations research, engineering) or equivalent quantitative skill demonstration (e.g. through development in the workplace).

For our Director role, we require the following in addition to what is listed above:

  • Leadership and strategy setting on HTA modelling and simulation (including indirect treatment comparisons, utility analyses, survival analysis, treatment switching, and other advanced analytics used for HTA and wider market access) across different indications.
  • Significant experience of hands-on modelling of patient level simulations, dynamic models, application of risk equations, parametric survival techniques, and Bayesian analyses, among others.
  • Develop global standards, guidelines, best practice, and metrics within the team. Lead quality assurance on the implementation of accepted methods for modelling and full validation of health economic models prior to submissions to HTA bodies or scientific journals.
  • Develop and maintain an external network of experts and participate as an expert in collaborations to drive new and innovative HTA methods.

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.

Date Posted

18-jul-2025

Closing Date

08-ago-2025

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.

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