Late Phase Statistician - Clinical Development at Pierre Fabre in Haute Garonne

  • Company: Pierre Fabre
  • Location: Haute Garonne (31)
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-22

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Job description

Who we are ? We are Pierre Fabre Laboratories, a global leader combining pharmaceutical expertise with dermo-cosmetics to support consumers and patients at every stage of their care journey. Our portfolio includes several medical franchises and international brands such as Eau Thermale Avène, Ducray, A-Derma, Klorane, René Furterer, and Pierre Fabre Oral Care. By joining us, you become part of a meaningful company where the human dimension is essential. You become a participant in the "We Care Movement," a movement that values excellence and innovation within passionate teams. Together, we push the boundaries of science to unite health and beauty for the benefit of all, because Every time we care for a single person, we make the whole world better. Present in 120 countries with a team of over 10,000 employees, we are proud to create a scientific and human impact, today and tomorrow! If caring is at the heart of your values, join Pierre Fabre Laboratories and become a key player in the “We Care Movement". Your mission The Biometry Department at Pierre Fabre supports all drugs being developed by the company. The department encompasses Data Management, Programming, and Statistics, working cohesively to ensure the successful completion of both Randomized Controlled trials and Real-World evidence studies. We are seeking a highly skilled and experienced Senior Statistician (6+ years of experience in a similar position) to join our Biometry Department and provide statistical leadership for late-stage clinical development programs, primarily phase IIb and phase III randomized controlled trials and activities supporting regulatory submissions. The successful candidate will interact with Health Authorities and will play a central role in the design, execution, analysis, interpretation, and reporting of confirmatory clinical trials intended to provide robust evidence of efficacy and safety. The position requires strong expertise in estimands, confirmatory testing strategies, missing data, sensitivity analyses, multiplicity control, safety and efficacy integrated analyses, and regulatory submissions. The successful candidate will be agile and adaptable, capable of working in a matrix-organized environment where collaboration across Data Management, Programming, and Statistics is essential. Your role within a pioneering company in full expansion: Key Responsibilities Participate in the conception and design of phase IIb and phase III randomized controlled trials, providing expert statistical support for study design, sample size determination, randomization, endpoint selection, estimand definition, and confirmatory testing strategies. Lead the statistical definition and justification of primary and key secondary endpoints, analysis populations, intercurrent event strategies, missing data approaches, sensitivity analyses, and multiplicity adjustments . Contribute to the design and statistical oversight of interim analyses, Independent Data Monitoring Committees, adaptive confirmatory designs, and event-driven analyses, where applicable. Act as the primary point of contact internally and externally for all statistical aspects of assigned projects and studies, attending project/study meetings and offering statistical guidance. Draft and/or validate key study documents such as synopses, protocols, CRFs, data review plans, statistical analysis plans, statistical results, study reports and other study-level documents while ensuring timely deliverables. Program and/or validate statistical analyses using SAS and/or R Collaborate with clinicians to interpret results, develop key messages, and communicate findings to clinical and regulatory partners. Contribute to the development of submission strategies and statistical content for regulatory dossiers submitted to agencies such as EMA, FDA, and PMDA Coordinate the production of integrated summaries and pooled analyses of efficacy and safety, ensuring consistency across studies, endpoints, and popula

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