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

Compensaciones / Beneficios 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 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

📌 Remote analyst (Barcelona)
🏢 Icon Clinical
📍 Barcelona