AD-Director Biostatistics - Oncology Data Scientist

We have a current opportunity for a AD-Director Biostatistics - Oncology Data Scientist on a permanent basis. The position will be based in Redwood City, CA or remote. For further information about this position please apply.

As a senior leader within the Quantitative Sciences (QS) team, the AD-D Biostatistics, Data Scientist plays a pivotal role in advancing the rigor and innovation of statistical methodologies that support our clinical development and product claims. This role is instrumental in transforming oncology clinical research by integrating real-world data (RWD) with clinical trials to develop next-generation external control arms (ECAs).

The ideal candidate will collaborate closely with cross-functional teams-including Clinical Science, Product, Oncology Data Specialists, and Data & Technology partners-to design, execute, and communicate robust statistical analyses that drive strategic decision-making and regulatory success.

Salary: $180-280,000 base salary + bonus + additional benefits

Key Responsibilities

• Innovative Study Design & Methodology

  • Lead the development of prospective ECAs and hybrid control designs that combine retrospective and prospective RWD with single arm and randomized controlled trials.
  • Design and apply advanced statistical methods to address selection bias, confounding, and measurement error in observational data.

• Cross-Functional Collaboration

  • Partner with Clinical Science and Commercial teams to provide statistical leadership across clinical development programs.
  • Contribute to clinical study plans, protocols, regulatory strategies, target product profiles (TPPs), and integrated evidence plans.

• Execution & Delivery

  • Oversee study design, including sample size estimation, data requirements, and bias mitigation strategies.
  • Develop and implement statistical analysis plans and adjacent algorithms to support scalable, reproducible analyses.
  • Lead the interpretation and communication of results through peer-reviewed publications, regulatory submissions, and internal presentations.

• Process & Platform Development

  • Collaborate with Data & Technology teams to define data collection, harmonization, and quality control processes.
  • Champion the development of tools, pipelines, and algorithms that enhance efficiency, scalability, and reproducibility.

• Thought Leadership & Mentorship

  • Guide internal teams on best practices in statistical methodology, clinical trial design, and data interpretation.
  • Contribute to the evolution of internal workflows and platform strategies.

Qualifications

• Education & Experience

  • PhD in Statistics, Biostatistics, or a related field with a minimum of 6 years of pharma industry experience
  • Extensive experience in oncology clinical trials and statistical analysis.
  • At least 3 years in a project leadership role within a cross-functional clinical development environment.
  • 3+ years of hands-on experience with oncology clinical trial statistics.

• Technical Expertise

  • Deep knowledge of epidemiological and statistical methods, including survival analysis, time-to-event modeling, and causal inference.
  • Proven experience with externally controlled and hybrid study designs, including propensity score methods and bias correction techniques.