Senior Vice President Biometrics
Senior Vice President Biometrics
San Francisco Area (Remote, but must be based in San Francisco)
Compensation: $320,000-400,000 + Bonus + Equity
Company Summary:
We're working with a rapidly scaling oncology biotech that recently raised over $100M in Series C funding to advance its lead program into Phase 3 trials targeting high-need solid tumors. Early data shows strong efficacy and safety, positioning the company for significant clinical impact.
What makes this organization stand out is its use of AI-driven biometrics, leveraging machine learning to optimize trial design, predict patient outcomes, and accelerate data analysis. This approach has already improved timelines and data quality across global studies.
Backed by a proven leadership team with multiple drug approvals, the company is expanding its biometrics function and hiring a Senior Vice President Biometrics to lead strategy across biostatistics, programming, and clinical data science.
Primary Responsibilities:
- Lead biometrics strategy across clinical programs, ensuring alignment with development and regulatory goals.
- Oversee biostatistics, programming, and data science functions from early-phase through registration.
- Guide statistical planning, trial design, and data interpretation to support clinical decision-making.
- Represent biometrics in regulatory interactions and submission activities.
- Manage internal teams and external vendors to ensure timely, high-quality deliverables.
- Drive innovation in analytics, visualization, and AI integration across clinical trials.
- Collaborate cross-functionally to support data-driven strategies and operational excellence
- Ensure compliance with global regulatory standards and data governance frameworks (e.g., ICH, GCP, CDISC).
Ideal Qualifications:
- Graduate-level education (PhD or MS) in statistics, biostatistics, or a related quantitative discipline.
- Minimum of 10 years in biometrics experience within biotech, pharma, or CRO environments.
- Strong command of statistical principles, regulatory standards, and clinical data frameworks (e.g., SDTM, ADaM).
- Oncology experience in industry
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