Experteer Overview
La experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación.
You will join a cross-functional team to design and deliver observational studies and real-world evidence projects across CVRM. You translate complex analytics into actionable, decision-ready insights that shape trial strategy and patient selection. You will work end-to-end from protocol to results interpretation, applying robust epidemiology and biostatistics. This role combines clinical development with advanced analytics to accelerate medicines and inform program decisions. You will contribute to scalable, transparent analyses and collaborate with multidisciplinary partners to drive impact.
Compensaciones / Ventajas
• Design and deliver observational studies and RWE projects across CVRM, from protocol to dissemination
• Translate findings into evidence-based recommendations guiding study design, milestones and lifecycle decisions
• Build and validate cohort and phenotyping definitions; perform data feasibility assessments; run analyses; report with reproducibility
• Apply robust observational study design and epidemiology methods; implement approaches like comparative effectiveness, longitudinal analysis, causal inference, phenotyping and predictive analytics
• Work with claims, EHRs, registries and linked datasets; document assumptions, methods and outputs aligned to standards




• Deploy AI/machine learning to speed phenotyping, endpoint identification, workflow automation and standardisation; contribute reusable code and templates
• Evaluate new methods and tools to improve delivery and analytical quality
• Collaborate with Clinical Development, Biostatistics, Data Science and other stakeholders to align outputs with program decisions
• Uphold scientific quality, reproducibility and transparency; document coding, quality control and study conduct; share knowledge to raise team capability
Responsabilidades
• Advanced degree (PhD or MSc) in epidemiology, biostatistics, data science, public health or related field
• Strong understanding of observational xqbhyrx study design and real-world data interpretation
• Experience applying machine learning or AI methods in healthcare data
• Experience with real-world data assets (claims, EHRs, registries, linked datasets)
• Quantitative methods for evidence generation (e.g., comparative effectiveness, longitudinal analyses, causal inference, phenotyping, predictive modelling)
• Strong programming and data analysis skills in R, Python and/or SQL
• Ability to manage multiple analyses/projects with focus on quality and timelines
• Strong written and verbal communication skills; ability to explain technical findings clearly
• Advanced English
Requisitos principales
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📌 Senior Scientist, Clinical Intelligence Evidence (Barcelona)
🏢 AstraZeneca
📍 Barcelona