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Senior Manager, Biostatistics

Remote, MA

Posted: 05/13/2025 Employment Type: Contract Job Category: Biometrics Job Number: 4438

Job Description


The Senior Manager, Biostatistics acts as statistical study lead; provides technical input and biostatistical support on the design and conduct of clinical studies; participates in the evaluation, interpretation, and reporting of study results; performs statistical analyses; provides timely support to the project teams on all statistical matters

Responsibilities:
  • Lead in study level tasks, ensuring statistical integrity; contribute strategically to the supporting projects from statistics perspective.
  • Contribute to study level tasks from statistics perspective, including study design and sample size determination, protocol statistics section, SAP and DMC charter; Review study randomization files; Develop TFL shell and specification; Review CRFs and other study documentations; Active participation in study related meetings
  • Works collaboratively within biometrics teams and with cross-functional teams to meet product deliverables and timelines for statistical data analysis and reporting
  • Independently conduct analyses suggested by the data; Propose new/novel statistical methodological approaches to improve the efficiency and sensitivity of study results
  • Contribute to developing standards and research in advanced statistical methodologies
  • Review regulatory documents or scientific publications

Requirements / Qualifications
  • PhD in Statistics or Biostatistics with a minimum of 3 years (min 6 years for Master's degree) of post-graduate experience in the clinical trials setting in the pharmaceutical industry
  • Experienced in NDA / BLA / MAA activities as a contributor from statistics perspective and direct involvement in regulatory interaction is preferred
  • Experienced as or is capable to act as study lead statistician and contribute to strategy discussion in cross functional settings 
  • Experienced in study level work including authoring SAP and TFL specification
  • Familiar with ICH guideline, FDA / EMA / other regulatory authority guidance
  • Solid understanding of mathematical and statistical principles
  • Detailed-oriented with organization, problem solving and prioritization skills; demonstrated the ability to prioritize and complete multiple tasks according to company timeline
  • Familiar with SAS and R; preferably with knowledge in CDISC including SDTM, ADaM, and controlled terminologies
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