Senior RWE Statistician: Lead Real-World Evidence

Excelya; Boulogne-Billancourt; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Excelya is seeking a Senior Statistics professional to join the Statistics team overseeing Real-World Evidence, non-interventional, and Secondary Use of Data projects. You will provide statistical leadership, review protocols and SAPs, supervise external vendors, ensure quality and timely outputs, and collaborate across Biometry, Clinical Operations, and Medical teams.

The role requires a Master’s degree in Statistics or related field and extensive experience in pharmaceutical analytics, with

Formación

• Master's degree in Statistics, Biostatistics, Epidemiology, or related field.
• Very strong experience in statistics and statistical programming within pharmaceutical/biotech/healthcare industries, including RWE, non-interventional, and SUD projects.
• Hands-on SAS programming and statistical validation experience.

Responsabilidades

• Review study synopses, protocols, sample size calculations, design, endpoints, and statistics.
• Oversee SAPs, TFLs, and interim analyses from external vendors.
• Monitor study milestones and vendor dashboards to track progress.
• Ensure timely, high-quality statistical outputs and datasets per Ipsen quality standards.
• Perform QC of analyses and CSR reviews; manage external communications.
• Collaborate with Biometry, Clinical Operations, Medical teams and partners.
• Maintain complete study documentation with eTMF compliance.

Conocimientos

SAS programming

R programming

Healthcare data

Stakeholder management

Educación

Master's degree in Statistics

Descripción del empleo

Excelya is seeking a Senior Statistics professional to join the Statistics team overseeing Real-World Evidence, non-interventional, and Secondary Use of Data projects. You will provide statistical leadership, review protocols and SAPs, supervise external vendors, ensure quality and timely outputs, and collaborate across Biometry, Clinical Operations, and Medical teams.

The role requires a Master’s degree in Statistics or related field and extensive experience in pharmaceutical analytics, with