Lead Statistician – Real World Evidence (RWE) – Remote

PIERRE FABRE MEDICAMENT; Pechbusque; Hybride; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Incentives and profit-sharing

Health and provident insurance

Public transport participation

25 days of personal holidays

16 days of holiday (RTT)

Résumé du poste

PIERRE FABRE MEDICAMENT is looking for an experienced Lead Statistician to join the Biometry Department. The position allows for fully remote work or hybrid arrangements. Key responsibilities include leading the design of Real-World Evidence studies, ensuring compliance with industry standards, and providing statistical guidance for projects.

The ideal candidate should hold an advanced degree in Statistics and possess at least 6 years of experience in the pharmaceutical sector. Benefits include profit-sharing, health insurance, and a generous holiday package.

Qualifications

• Minimum of 6 years of experience in the pharmaceutical industry or a CRO.
• Significant involvement in Real-World Evidence studies from the outset.
• Comprehensive knowledge of primary data collection and secondary data re-utilization.

Responsabilités

• Participate in the conception and design of Real-World Evidence studies.
• Act as the primary point of contact for all statistical aspects of assigned projects.
• Draft and validate key study documents and ensure timely deliverables.

Connaissances

Advanced statistical analysis skills

Proficiency in SAS

Strong understanding of RWE study design

Excellent written and verbal communication skills in English

Strong ability to manage multiple studies

Creativity and proactivity

Formation

Advanced degree in Statistics (Master’s, ENSAI, ISUP, PhD)

Outils

SAS software

Description du poste

PIERRE FABRE MEDICAMENT is looking for an experienced Lead Statistician to join the Biometry Department. The position allows for fully remote work or hybrid arrangements. Key responsibilities include leading the design of Real-World Evidence studies, ensuring compliance with industry standards, and providing statistical guidance for projects.

The ideal candidate should hold an advanced degree in Statistics and possess at least 6 years of experience in the pharmaceutical sector. Benefits include profit-sharing, health insurance, and a generous holiday package.