Lead Statistical Programmer- Cdi -m/f

Pierre Fabre

Toulouse, Occitanie, France
Hybrid (compatible with teleworking up to 2 days a week)
Proficiency in sas and r programming
Extensive experience in randomized controlled trials
Strong knowledge in cdisc standards
Pierre Fabre, a leading global dermo-cosmetics and pharmaceutical group, is seeking a Lead Statistical Programmer with expertise in programming for randomized controlled trials and real-world evidence studies. The ideal candidate should possess advanced statistical qualifications, a minimum of six years of relevant experience, and proficiency in SAS and R programming

Job Summary

  • The successful candidate will participate in the design and execution of RCTs and RWE studies.
  • This position offers an attractive remuneration and benefits package including health insurance and profit-sharing.
  • Pierre Fabre is recognized as one of the World's Best Employers 2021 by Forbes.

Matching Summary

Match Score: 85

Pierre Fabre, a leading global dermo-cosmetics and pharmaceutical group, is seeking a Lead Statistical Programmer with expertise in programming for randomized controlled trials and real-world evidence studies. The ideal candidate should possess advanced statistical qualifications, a minimum of six years of relevant experience, and proficiency in SAS and R programming.

Skills & Requirements

Must-have

  • Proficiency in SAS and R programming
  • Extensive experience in Randomized Controlled Trials
  • Strong knowledge in CDISC standards

Nice-to-have

  • Experience with Python and SQL
  • Knowledge of Real-World Evidence studies
  • Creativity and proactivity in problem-solving

Key Requirements

  • Advanced degree in Statistics or related field
  • Minimum of 6 years experience in the pharmaceutical industry
  • Hands-on experience in RCTs and RWE studies

Work Rights

Not specified

Tailored Resume

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