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Statistical Project Leader (Associate Director)

Sanofi
Remote friendly (Morristown, NJ)
United States
Clinical Research and Development

Role Summary

Statistical Project Leader (Associate Director) within the EGDS Biostatistics I&I team. Provides statistical leadership as the lead statistician on one or more project teams, develops innovative statistical solutions to support critical trial decision-making, and advances treatment across all phases of drug development. The role supports growth through people development and inclusive career opportunities within a data-driven, AI-enhanced R&D environment. Location: Morristown, NJ; Cambridge, MA.

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; being able to do 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 in SAS and/or R
  • Project leadership and collaboration
  • Strong written and verbal communication
  • Cross-functional teamwork and stakeholder management

Education

  • PhD or MS in statistics or related discipline