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Director Biostatistics

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Green Key Resources
Full Time position
Listed on 2026-06-26
Job specializations:
  • Research/Development
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

A rapidly growing, science‑driven biotech is seeking a Director of Biostatistics to provide strategic and technical leadership across large, complex late‑phase clinical programs. This is a high‑visibility role supporting global development, regulatory submissions, and innovative clinical trial design in a cutting‑edge therapeutic area.

Key Responsibilities
  • Drive statistical strategy for late‑phase clinical development programs, including innovative trial design and endpoint strategy.
  • Author statistical sections of protocols and lead development of SAPs for Phase 2/3 studies and integrated analyses.
  • Partner cross‑functionally with Clinical Development, Regulatory, Data Management, and Clinical Operations.
  • Provide statistical oversight for randomization, stratification, eCRF design, and ongoing trial conduct.
  • Collaborate with programming teams on ADaM specifications, analysis outputs, and data interpretation.
  • Lead statistical contributions to global regulatory submissions, briefing documents, and responses to agency questions.
  • Represent the biometrics function in internal and external meetings, including with investigators and scientific partners.
  • Contribute to publications, manuscripts, and scientific presentations.
Required Qualifications
  • PhD in Statistics/Biostatistics (or other relevant field) with 7+ years of pharmaceutical/biotech experience.
  • Strong background in late‑phase clinical trials, including design, analysis, and regulatory deliverables.
  • Experience with clinical trial simulations to evaluate design options and operating characteristics.
  • Extensive knowledge and experience with Bayesian and adaptive design approaches.
  • Proficiency in SAS and R; comfort working with advanced analytical methods.
  • Experience supporting regulatory submissions.
  • Excellent communication skills and the ability to translate complex statistical concepts for diverse audiences.
  • Collaborative mindset and ability to lead within a matrixed, fast‑moving environment.
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