Statistical Project Leader (Associate Director)

Role Summary

Statistical Project Leader (Associate Director) in Sanofi’s Evidence Generation and Decision Science (EGDS) Biostatistics I&I team. You will provide statistical leadership as the lead statistician on one or more project teams, with opportunities to develop innovative statistical solutions to support critical trial decision-making and advance treatment across all phases of drug development.

Responsibilities

• Proficient level of statistical and scientific contribution to clinical development plans, studies and submission activities (when applicable), with minimal guidance from senior statistical project leader or team leader
• Accountable for statistical aspects including quality, relevance to external stakeholders (e.g. regulatory authorities, medical journals), and scientific validity
• Plan, monitor and manage project activities, timelines, processes, and resources to ensure operational excellence and align practices in compliance with Sanofi SOPs and Biostatistics standards
• Develop productive collaboration with other functions in the aligned project team and with other statistics project leaders and in communicating with senior leadership
• Mentor junior project team members and nurture a culture of productive teamwork, quality, operational efficiency, and innovation
• Represent statistics in cross-functional and cross-company activities (e.g. working groups, consortiums or professional associations)

Qualifications

• PhD/MS in statistics or related discipline with at least 5 years of pharmaceutical experience in clinical development, including experience with Biotech, pharma, Clinical Research Organizations (CROs), health authorities and academic clinical research centers
• Broad knowledge and good understanding of advanced statistical concepts and techniques; ability to perform advanced statistical analyses using SAS or R
• Demonstrated strong project management, interpersonal and communication skills
• Exhibited expertise to represent organizations in cross-company activities (e.g. consortiums or professional associations)
• Proficient in written and spoken English

Skills

• Statistical analysis using SAS or R
• Project management
• Cross-functional collaboration
• Strong communication and presentation skills

Education

• PhD or MS in statistics or related discipline