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Senior Director of Biostatistics

EPM Scientific, Palo Alto, CA, United States


We are partnered with an oncology‑focused biotechnology company seeking a seasoned biostatistics leader to guide the statistical vision behind its clinical development programs. This role will shape statistical strategy, elevate study design, and ensure scientific and regulatory rigor across a growing oncology portfolio. The Senior Director will collaborate closely with Clinical Development, Regulatory Affairs, Data Management, and Clinical Operations to drive high‑quality program execution.

Key Responsibilities

Provide statistical leadership and strategic direction across early‑ and late‑phase oncology studies

Lead clinical trial design and analysis, including sample size modeling, endpoint planning, and randomization strategies

Oversee statistical deliverables for regulatory submissions, including protocols, SAPs, and CSR contributionsPartner cross‑functionally to ensure data quality, integrity, and alignment with scientific and operational goals

Offer expertise on adaptive designs, interim analyses, and innovative methodologies supporting novel oncology platforms (including ADCs and radioligands)

Manage, mentor, and oversee internal biostatistics team members and external vendors to ensure timely, high‑quality outputs

Participate in global regulatory interactions (FDA, EMA, etc.), contributing to briefing documents, responses, and statistical justification packages

Develop and maintain statistical standards and processes consistent with ICH E9, CDISC, and industry best practices

Qualifications

Ph.D. in Biostatistics, Statistics, or a related quantitative discipline

12+ years of biostatistics experience within the pharmaceutical or biotechnology industry, with at least 5 years focused in oncology

Demonstrated leadership experience managing biostatistics teams and external vendors

Proven track record contributing to successful IND, NDA, or BLA submissions

Strong foundation in clinical trial design, regulatory guidance, and modern statistical approaches in oncology

Experience with ADCs, radioligand therapies, or targeted oncology platforms preferred

Proficiency in SAS, R, or equivalent statistical programming tools

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