Overview 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 integral healthcare context. You will engage with clients and contribute to scientific publications and presentations.

Compensaciones / BeneficiosCompetitive base salaryPerformance-related incentivesHealth and wellbeing programmesRetirement and pension plansLife assurance and disability coverageEmployee assistance programmes and wellbeing resources ResponsabilidadesSupport study conception, design, and protocol development for real-world evidence and observational projectsDevelop statistical analysis plans and study SAPs; write methods sectionsPerform sample size and power calculationsDevelop and maintain SAS datasets, programs, macros, tables, listings, and figuresLead quality control and validation of raw/derived data; manage data transfersConduct advanced statistical analyses (longitudinal, survival, repeated measures, etc.)Produce deliverables: statistical outputs, tables/figures,



reports for clientsContribute to manuscripts, abstracts, conference presentations, and publicationsCommunicate statistical requirements and deliverables to clients and cross-functional teamsRepresent statistics in proposals and RFPs; participate in SOPs and training activities Requisitos principalesMaster's degree or PhD in a quantitative fieldSignificant experience in pharma/biotech/CRO or real-world evidence environmentsAdvanced SAS programming experience (datasets, analyses, macros, tables, figures)Strong knowledge of statistical methodologies applicable to healthcare and observational dataExperience developing Statistical Analysis Plans (SAPs) and analysis specificationsExperience with observational study designs, health outcomes research, and real-world data sourcesAbility to manage statistical deliverables independently while collaborating in multidisciplinary teamsStrong written and verbal communication skills; ability to explain complex statistics to technical and non-technical audiencesPreferred: experience in HEOR/economics/data analytics; publications/presentations; R programming knowledgecollaborationclear communicationindependence with accountabilitySAS programmingstatistical methodologies for healthcare datalongitudinal analyses

📌 Senior Statistical Analyst - Icon Clinical PLC (Barcelona)
🏢 Jobrapido
📍 Barcelona