Overview
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In this role you drive real-world evidence studies from design to publication, applying advanced statistics to healthcare data. You will work within the Real World Evidence team to deliver analyses, reports, and client-ready outputs that inform healthcare decisions. You’ll lead statistical planning, data management, and methodological quality across studies, with collaboration across cross-functional teams. The position offers meaningful impact by shaping evidence generation in a global healthcare context. You will engage with clients and contribute to scientific publications and presentations.
Compensaciones / Ventajas
Competitive base salary
Performance-related incentives
Health and wellbeing programmes
Retirement and pension plans
Life assurance and disability coverage
Employee assistance programmes and wellbeing resources
Responsabilidades
Support study conception, design, and protocol development for real-world evidence and observational projects
Develop statistical analysis plans and study SAPs; write methods sections
Perform sample size and power calculations
Develop and maintain SAS datasets, programs, macros, tables, listings, and figures
Lead quality control and validation of raw/derived data; manage data transfers
Conduct advanced statistical analyses (longitudinal, survival,



repeated measures, etc.)
Produce deliverables: statistical outputs, tables/figures, reports for clients
Contribute to manuscripts, abstracts, conference presentations, and publications
Communicate statistical requirements and deliverables to clients and cross-functional teams
Represent statistics in proposals and RFPs; participate in SOPs and training activities
Requisitos principales
Masters degree or PhD in a quantitative field
Significant experience in pharma/biotech/CRO or real-world evidence environments
Advanced SAS programming experience (datasets, analyses, macros, tables, figures)
Strong knowledge of statistical methodologies applicable to healthcare and observational data
Experience xqbhyrx developing Statistical Analysis Plans (SAPs) and analysis specifications
Experience with observational study designs, health outcomes research, and real-world data sources
Ability to manage statistical deliverables independently while collaborating in multidisciplinary teams
Strong written and verbal communication skills; ability to explain complex statistics to technical and non-technical audiences
Preferred: experience in HEOR/economics/data analytics; publications/presentations; R programming knowledge
collaboration
clear communication
independence with accountability
SAS programming
statistical methodologies for healthcare data
longitudinal analyses

📌 Senior Statistical Analyst (Barcelona)
🏢 Icon Clinical
📍 Barcelona