Associate Director, Global Health Economics and Outcomes Research Analytics

Location :
Barcelona - Spain (3 days working from the office and 2 days working from home)

The Associate Director, Global Health Economics & Outcomes Research (GHEOR) Analytics, develops and implements HEOR Analytics strategy, including conceptualizing real-world evidence studies, identification of data sources, study conduct and execution of publication plan. The incumbent will engage in hands on programming in R, python (or SAS if needed) and other programming languages or tools to efficiently work with real-world databases, to identify and discover target patient populations, describe treatment patterns, disease burden, health care resource utilization and cost, and other exploratory questions.

The Associate Director is responsible to ensure that outcomes and quality data are produced to ensure the scientific medical standing of the potential value and real-world impact of Alexion products for payers, healthcare providers, and patients and caregivers.

• Designs and implements HEOR studies that support the clinical, economic, and patient centered value propositions, as well as reimbursement requirements for the therapeutic areas of interest.
• Manages analytics consultants and oversees the analysis activities by providing inputs to the analysis plans, monitoring the study conduct and reviewing study results.
• Provides statistical guidance or methodology and interprets the analysis results.
• Serves as a real-world data expert, identify data sources, and provide strategies to generate valid evidence from the appropriate databases.
• Provide new insights for disease area to help shape clinical development strategies and generates real world evidence for value decisions of therapies.
• Collaborates with Biostatistics team to work on clinical trial post-hoc analysis.
• Generates rapid real-world evidence to empower the development needs, speed up clinical trial design or facilitate quick decisions.
• Support preparation of medical or payer advisory meetings to solicit feedback on Alexion products and therapeutic areas specific disease impacts.
• Ensure quality and timely deliverables for all assigned studies/projects.
• Supports publication planning and execution, reviews, and approves abstracts or manuscripts.
• Participate in acquisition strategy for real-world data sources for possible in-license/ purchase and additional analytical tools for analytic needs.
• Contributes to the global HEOR analytics infrastructure, including develop best practices in HEOR Analytics function, identify areas for process improvement, and provide measures to improve quality and efficiency.

• BS/MS/MA in Statistics, Biostatistics, Computer Science, Mathematics and/or PhD in related area.
• Expertise in statistical methodologies including general linear models, multivariate regression, non-parametric methods, bayesian inference etc.
• 5+ years prior experience in data sciences/biostatistics, analytical programming using R, Python, SAS and other languages in the biopharmaceutical/pharmaceutical industry.
• Good understanding of the data structure and limitations of various types of real-world databases, and experience in working with large EMR or claims database are preferred.
• Experience with big data science, machine learning, AI models.
• Knowledge of clinical trials, and experience in analyzing and interpreting clinical trial data.
• Excellent written and oral communication skills
• Excellent presentation and interpersonal skills.
• Attention to detail while managing multiple projects under tight timelines.
• Flexibility and adaptability to internal and external changes.
• Experience and knowledge in rare disease is helpful, but not mandatory

01-jun-2026

31-ago-2026

Alexion is proud to be an Equal Employment Opportunity and Affidative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law.

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