Senior RWE Statistician Lead – Remote

Pierre Fabre Laboratories; France; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Incentives and profit-sharing

Health and provident insurance

16 days of RTT in addition to 25 personal holidays

Public transport participation

Résumé du poste

A global pharmaceutical company is seeking an experienced Lead Statistician specialized in Real World Evidence studies. You will play a key role in designing studies and programming analyses using SAS software, working closely with project teams on statistical guidance. Candidates should have an advanced degree in Statistics and more than 6 years of experience in the pharmaceutical sector. This full-time position offers the flexibility of remote or hybrid work arrangements and an attractive benefits package, including profit-sharing and extensive paid leave.

Qualifications

• Minimum of 6 years of experience in the pharmaceutical industry or CRO.
• Significant involvement in Real World Evidence studies.
• Familiarity with regulatory guidelines (ICH, EMA, FDA, NICE).

Responsabilités

• Participate in design of Real‑World Evidence studies.
• Act as primary contact for all statistical aspects.
• Draft and validate key study documents, ensuring timely deliverables.
• Collaborate with project team and clinicians to interpret results.
• Prepare summaries for regulatory documents.

Connaissances

Advanced statistical analysis skills

Proficiency in SAS software

Excellent written and verbal communication skills in English

Strong understanding of real‑world evidence studies design and methodology

Excellent communication and cooperation skills

Creativity and proactivity

Strong ability to manage multiple studies

Formation

Advanced degree in Statistics or related field

Outils

SAS

Description du poste

A global pharmaceutical company is seeking an experienced Lead Statistician specialized in Real World Evidence studies. You will play a key role in designing studies and programming analyses using SAS software, working closely with project teams on statistical guidance. Candidates should have an advanced degree in Statistics and more than 6 years of experience in the pharmaceutical sector. This full-time position offers the flexibility of remote or hybrid work arrangements and an attractive benefits package, including profit-sharing and extensive paid leave.