Key skills
PythonRLeadershipStakeholder Management
About this role
Role Overview
- Provide statistical leadership for oncology studies/indications, partnering with project and study teams to align strategy and execution
- Lead statistical strategy for study design, analysis, reporting, and interpretation, applying fit-for-purpose methods (e.g., simulation, interim strategies, Bayesian) to quantify uncertainty and inform decisions
- Author/review statistical sections of protocols, SAPs, clinical/regulatory documents, and presentations; communicate complex results clearly to non-statistical stakeholders
- Ensure high-quality, on-time deliverables and effective stakeholder management in a matrix environment
- Drive innovation in statistical methodology and data strategy, including appropriate use of external/real-world data to strengthen oncology evidence generation
- Build deep indication knowledge (e.g., regulatory expectations, competitor landscape) and influence asset strategy and regulatory submissions with rigorous statistical insight
Requirements
- PhD in Statistics or a related quantitative field with at least 5 years post-degree experience or MS/MSc in Statistics (or related quantitative field) with 8+ years of clinical development experience
- Experience supporting clinical development in pharmaceutical, biotech, or CRO settings
- Experience delivering fit-for-purpose statistical solutions and supporting study design and readouts
- Experience with R and/or Python
Tech Stack
- Python
Benefits
- Health care and other insurance benefits (for employee and family)
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave