About the job Our Team: At Sanofi, we have a shared commitment to bring innovation to a broad and diverse portfolio of therapeutics supported by our Biostatistics and Programming department.
You will 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.
Main responsibilities: Lead a project/one or several indications of a project in clinical development.
With minimal direction from senior statistical project leader or team leader, provide statistical support and scientific leadership for responsible projects.
Accountable for statistical aspects of clinical development plans, studies and submissions activities (when applicable), including quality, relevance to external stakeholders (e.g.
regulatory authorities, medical journals), and scientific validity.
Mentor people working on the project.
Promote teamwork, quality, operational efficiency, and innovation.
Create a productive work environment.
Ensure project team compliance with SOPs and departmental standards.
Plan and track project activities, timelines, and resource use.
Provide justification for planned resource needs.
Seek to optimize resource utilization through efficient and well-managed resource allocation across projects or areas.
Capacity to respond to unscheduled increases in project workload.
Ensure productive collaborations with other functions in the aligned project team and with other statistics project leaders and in communicating with senior leadership.
Represent statistics in cross-function working groups.
Contribute to operation process optimization and provide inputs to statistics standards.
About you Education and Experience: PhD/MS in statistics or related discipline with at least 6 years of pharmaceutical experience in clinical development, including late phase clinical development.
Technical skills: Broad knowledge and good understanding of advanced statistical concepts and techniques; able to do advanced statistical analyses using SAS or R. Soft skills: Demonstrated strong project management, interpersonal and communication skills.
Languages: Proficient in written and spoken English.
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