Lead Biostatistician for Clinical Studies

ICON; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Health insurance

Annual leave entitlements

Retirement planning offerings

Employee Assistance Program (LifeWorks

Life assurance

Flexible country-specific benefits

Résumé du poste

ICON is seeking a Biostatistician to lead on statistical aspects across clinical studies in France. The role emphasizes technical depth, quality, and continuous improvement, with responsibility for analysis, CRF design, and reporting specifications.

You will collaborate with multidisciplinary teams, develop SAPs, and participate in bid defenses, leveraging extensive biostatistics experience to drive robust study conclusions.

Qualifications

• Master's or Ph.D in Biostatistics, Statistics, or related field with 5+ years biostatistical experience.
• Strong knowledge of multiple statistical and therapeutic areas, drug development processes, and statistical programming practices.

Responsabilités

• Lead biostatistics tasks with technical depth and focus on quality and continuous improvement.
• Develop statistical analysis plans and reporting specifications.
• Responsible for statistical aspects of CRF design and edit specifications.
• Perform statistical analyses and interpret results for diverse clinical studies.
• Review randomization specifications and dummy randomization schemes.
• Participate in bid defense meetings.

Connaissances

Biostatistics

Statistical programming

Independent working

Formation

Master's degree or Ph.D in Biostatistics or Statistics

Outils

Statistical software

Description du poste

ICON is seeking a Biostatistician to lead on statistical aspects across clinical studies in France. The role emphasizes technical depth, quality, and continuous improvement, with responsibility for analysis, CRF design, and reporting specifications.

You will collaborate with multidisciplinary teams, develop SAPs, and participate in bid defenses, leveraging extensive biostatistics experience to drive robust study conclusions.