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Director, Medical Affairs Statistical Sciences

Director, Medical Affairs Statistical Sciences

BioTalentPalo Alto, CA, United States
3 days ago
Job type
  • Full-time
Job description

Position Overview :

A leading life sciences company is seeking a Director of Statistical Sciences within Medical Affairs to provide technical leadership and strategic oversight in post-approval clinical research, disease registries, and real-world evidence (RWE) studies. This role will collaborate with internal teams, including medical affairs, market access, and health economics, to support publication initiatives and data-driven decision-making. Additionally, the Director will engage with regulatory agencies regarding clinical data submissions and statistical methodologies.

Location : Remote or hybrid, with a preference for candidates based in the West Coast, U.S.

Key Responsibilities :

  • Oversee statistical deliverables for post-approval studies, registries, meta-analyses, publications, and scientific presentations.
  • Ensure statistical integrity, accuracy, and compliance with regulatory requirements.
  • Provide statistical guidance on study design, endpoint selection, and sample size assessments.
  • Develop statistical analysis plans (SAPs) and interpret findings for key stakeholders.
  • Lead statistical modeling strategies for real-world data and natural history studies.
  • Collaborate cross-functionally with medical affairs, market access, and regulatory teams.
  • Support vendor selection, management, and oversight of outsourced statistical activities.
  • Present research findings at external conferences and contribute to publications.

Qualifications & Skills :

  • Advanced degree (MS / PhD) in Statistics, Biostatistics, or related field.
  • 10+ years of experience in statistical sciences within the pharmaceutical, biotech, or CRO industry.
  • Expertise in causal inference models, real-world evidence (RWE), and HEOR methodologies.
  • Strong experience supporting clinical trials and regulatory interactions.
  • Proficiency in R and / or SAS for statistical programming.
  • Proven ability to communicate complex statistical concepts to cross-functional teams.
  • Experience contributing to regulatory submissions (e.g., BLA, NDA, MAA) is a plus.
  • Strong analytical, organizational, and time-management skills to oversee multiple projects.