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Associate Statistical Project Leader

Sanofi
Remote friendly (Cambridge, MA)
United States
$122,250 - $176,583.33 USD yearly
Clinical Research and Development

Role Summary

Associate Statistical Project Leader responsible for leading one or several late-phase clinical studies in the Biostatistics Neurology team, under supervision of a statistical project leader and/or team leader. You will design, oversee, and deliver statistical analyses and provide statistical insight for study reports and publications. Location: Morristown, NJ or Cambridge, MA.

Responsibilities

  • Provide high quality input into the design of the clinical study, the setup and conduct of the study
  • Accountable for all statistical deliverables related to the study
  • Oversee execution of the statistical analyses according to the statistical analysis plan: perform and/or coordinate with study programmer the production of statistical analyses
  • Prepare statistical methods and provide statistical insight into interpretation and discussion of results sections for the clinical study report and/or publications to ensure the statistical integrity of the content according to internal standards and regulatory guidelines
  • Propose, prepare and perform exploratory data analyses, ad-hoc analyses as relevant for the study or project objectives
  • Provide technical guidance to junior staff
  • Plan and track study activities and timelines
  • Ensure productive collaborations with other functions in the aligned study team, promoting teamwork, operational efficiency, and innovation
  • Represent statistics to participate in scientific or technology working groups or cross function initiatives

Qualifications

  • PhD in Statistics or related discipline with at least 3 years of pharmaceutical experience in clinical development, including late phase
  • MS in Statistics or related discipline with at least 5 years of pharmaceutical experience in clinical development, including late phase
  • Broad knowledge and good understanding of advanced statistical concepts and techniques; able to do advanced statistical analyses using SAS or R
  • Demonstrated strong interpersonal and communication skills
  • Proficient in written and spoken English