Incentives; profit-sharing; shareholding with matc...
Hybrid (2 days per week from home)
Advanced degree in statistics or related field
Minimum 6 years pharmaceutical industry experience
Significant involvement in real world evidence studies
Pierre Fabre is seeking a Lead Statistician with expertise in Real World Evidence (RWE) studies to join their Biometry Department in Toulouse or Boulogne, France. The role requires advanced statistical skills, proficiency in SAS, and a collaborative spirit to contribute to both RWE and randomized controlled trials
Job Summary
The role involves participating in the conception and design of Real-World Evidence studies while providing expert statistical support.
Candidates will act as the primary point of contact for statistical aspects, contributing to regulatory submissions for agencies like the FDA and EMA.
The position offers an attractive remuneration package including incentives, profit-sharing, shareholding matching, and 41 days of holidays.
Matching Summary
Match Score: 85
Pierre Fabre is seeking a Lead Statistician with expertise in Real World Evidence (RWE) studies to join their Biometry Department in Toulouse or Boulogne, France. The role requires advanced statistical skills, proficiency in SAS, and a collaborative spirit to contribute to both RWE and randomized controlled trials.
Salary
Incentives; Profit-sharing; Shareholding with matching contribution
Skills & Requirements
Must-have
Advanced degree in Statistics or related field
Minimum 6 years pharmaceutical industry experience
Significant involvement in Real World Evidence studies
Proficiency in SAS software for statistical analysis
Strong understanding of RWE study design and methodology
Familiarity with regulatory guidelines ICH EMA FDA NICE ENcEPP
Nice-to-have
Experience with interventional studies
Knowledge of CDISC standards
Creativity and proactivity in a matrix environment
Ability to manage multiple studies simultaneously
Collaborative spirit across Data Management and Programming teams
Key Requirements
Master's Degree, ENSAI, ISUP, or PhD in Statistics
6+ years experience in pharma or CRO sector
Mandatory expertise in Real World Evidence methodologies