Associate Director, Global Health Economics and Outcomes Research Analytics

About the role

AstraZeneca's Alexion unit is looking for an Associate Director for Global Health Economics and Outcomes Research (GHEOR) Analytics in Barcelona, working 3 days in the office and 2 days from home. The role develops and implements the HEOR Analytics strategy, from conceptualising real-world evidence studies to publication, and ensures high-quality data that supports the scientific value of Alexion products for payers, healthcare providers and patients.

Key responsibilities

• Design and implement HEOR studies supporting clinical, economic and patient-centred value propositions and reimbursement requirements.
• Manage analytics consultants, oversee analysis plans, monitor study conduct and review results.
• Provide statistical guidance, interpret results and collaborate with the Biostatistics team on clinical trial post-hoc analyses.
• Act as a real-world data expert: identify data sources and generate valid evidence from databases.
• Generate real-world evidence to inform clinical development and value decisions, and prepare material for medical and payer advisory meetings.
• Support publication planning, review and approve abstracts or manuscripts.
• Take part in acquiring real-world data sources and analytical tools, and contribute to the global HEOR analytics infrastructure and best practices.

Required profile

• BS/MS/MA in Statistics, Biostatistics, Computer Science, Mathematics or a PhD in a related field.
• 5+ years of experience in data science or biostatistics, with analytical programming in the biopharmaceutical or pharmaceutical industry.
• Knowledge of clinical trials and experience analysing clinical trial data.
• Experience with large EMR or claims databases preferred; rare disease knowledge helpful but not mandatory.

Required skills

• Statistical methods such as general linear models, multivariate regression, nonparametric methods and Bayesian inference.
• Analytical programming in R, Python and SAS.
• Big data science, machine learning and AI models.