Statistical Project Leader, Biostatistics - all genders

at  Sanofi

OUR TEAM:

At Sanofi, we have a shared commitment to bring innovation and rigor to oncology clinical development. As Associate Statistical Project Leader, you will lead several oncology early phase projects or late phase studies under minimum supervision of statistical project leader and/or team leader. You will be supported by a Biostatistics Department that invests in the development of all our team members, offering compelling career opportunities that value diversity of thought and abilities, to optimize overall success and have a meaningful impact on patients’ lives.

As a Statistical Project Leader in Biostatistics, you will Lead one or more indications/projects in an Oncology Development at Sanofi, under minimum supervision of senior statistical project leader or team leader.

• 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 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 and across projects or areas. Capacity to respond to unscheduled increase 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.