Head of Early-Phase Biostatistics & Strategy

Daiichi Sankyo, Inc.

Basking Ridge (NJ)

On-site

USD 202,000 - 303,000

Full time

4 days ago
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Job summary

Daiichi Sankyo, Inc. is seeking a Director of Biostatistics to provide statistical leadership for Early Development Oncology in the U.S. The role leads study design, SAPs, TFL reviews, and cross-functional collaboration across GPTs and CROs.

The candidate should hold a PhD in statistics or biostatistics, have 7+ years in pharma or clinical research and 3+ years in Early Phase development, and be proficient in SAS and R. Travel up to 20% is required.

Qualifications

  • PhD in statistics or biostatistics required.
  • 7+ years of relevant experience in pharma or clinical research.
  • 3+ years of Early Phase development experience.
  • Proficiency in SAS and R; strong communication and leadership skills.
  • Experience providing statistical leadership for oncology programs and cross-functional teams.

Responsibilities

  • Provides hands-on statistical leadership and delivery across multiple Early Phase studies and serves as Biostatistics representative on GPTs and study teams.
  • Leads protocol development, SAPs, analysis specifications, modeling/simulation, CSR development and regulatory documents.
  • Reviews mock TFLs and performs quality review of ADaM datasets and TFLs for accuracy and regulatory readiness.
  • Collaborates with Data Management, CROs, and other partners to ensure high-quality, timely delivery.
  • Plans scope, timelines, priorities, and resources; communicates risks and manages CRO/vendor activities.
  • Supports global regulatory strategy and Health Authority interactions as needed.

Skills

Statistical leadership
Bayesian methods
Adaptive designs
Team leadership
Communication

Education

PhD in statistics or biostatistics

Tools

SAS
R

Job description

Daiichi Sankyo, Inc. is seeking a Director of Biostatistics to provide statistical leadership for Early Development Oncology in the U.S. The role leads study design, SAPs, TFL reviews, and cross-functional collaboration across GPTs and CROs.

The candidate should hold a PhD in statistics or biostatistics, have 7+ years in pharma or clinical research and 3+ years in Early Phase development, and be proficient in SAS and R. Travel up to 20% is required.

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