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Associate Statistical Project Leader

巴塞罗那, 西班牙 Regular 发布于   Apr. 27, 2026 申请截止于   May. 27, 2026 Salary Range   EUR 70,800.00 - 106,200.00
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Associate Statistical Project Leader

  • Location: Barcelona, Spain

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

Join our Biostatistics Immunology & Inflammation (I&I) as Associate Statistical Project Leader and you will lead several I&I phase 2 or 3 studies under minimum supervision of statistical project leader and/or team leader. You’ll have opportunities to develop innovative statistical solutions to support critical trial decision-making and advance treatment across all phases of drug development. Within our department of Evidence Generation and Decision Science, you’ll be supported by a Biostatistics group that fosters people development, offering compelling career opportunities that value diversity of thought and abilities, to optimize overall success and have a meaningful impact on patients’ lives.

About Sanofi


We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

  • Provide high quality input into the design of the clinical study (including protocol development), the setup and conduct of the study to make sure data are adequately captured and collected to answer the study objectives and to support the planned statistical analyses.

  • Accountable for all statistical deliverables related to the study: statistical sections in protocol including sample size calculation, randomization specifications, and statistical methodology, etc., Statistical Analysis plan, data surveillance, statistical analysis results for CSR and its appendices.

  • Effectively utilize external groups, e.g. CROs or data monitoring committees (DMC).

  • Work with the programming team to provide definitions, documentation and review of derived variables, as well as the quality control plan.

  • Perform and/or coordinate with study programmer the production of statistical analyses. Review and examine statistical data distributions/properties.

  • Oversee execution of the statistical analyses according to the SAP, prepare statistical methods & provide statistical insight into interpretation and discussion of results sections for the clinical study report (CSR) and/or publications to ensure the statistical integrity and scientific validity of the content according to internal standards and regulatory guidelines and in compliance with SOPs.

  • Propose, prepare and perform exploratory data analyses, ad-hoc analyses as relevant for the study or project objectives.

About You

  • PhD in Statistics, or related quantitative discipline strongly preferred and will be given preference in candidate selection due to the advanced statistical methodology required for this role. MS in Statistics or related discipline required as minimum qualification.

  • A minimum of 3 years of pharmaceutical experience in clinical development, such as in Biotech, Pharma, Clinical Research Organizations (CROs), health authorities, or academic clinical research centers.

  • Highly preferred: Experience with phase 2/3 clinical trials and statistical modeling methodologies for late-stage development.

  • Broad knowledge and good understanding of advanced statistical concepts and techniques; being able to do advanced statistical analyses using SAS or R.

  • Proficient in written and spoken English

#LI-Hybrid #BarcelonaHub #SanofiHubs

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进步需要我们每个人的参与——不论其背景、地域、或职业,我们都有一个共同的愿望:创造奇迹。你也可以成为其中的一员。我们不断追求变革,拥抱新思想,探索我们所能提供的一切机会。让我们一起追求进步。共同发现非凡。

在赛诺菲,不分种族、肤色、血统、宗教、性别、国籍、性取向、年龄、公民身份、婚姻状况、残疾或性别认同,我们为所有人提供平等的机会。

观看 “在赛诺菲的一天” ,并在官网 (sanofi.com) 上查看赛诺菲的多元化、公平与包容倡议!

最终薪酬将根据已展现的经验、技能、工作地点和其他相关因素确定。员工可能有资格参与公司员工福利计划。

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