Job Summary

• In this high-exposure role, you will guide the building, analysis and understanding of studies that inform pivotal decisions across our late oncology portfolio.
• You will operate at the intersection of science and decision-making: applying robust methods, stress-testing strategies through modelling and simulation, and communicating insights with clarity.
• Here you will see the impact of your statistics in real time: shaping high-stakes decisions, influencing study strategies and contributing directly to medicines that change lives.

Matching Summary

Salary

Base: $109,148.80 to $143,257.80; Bonus/Equity: Annual Variable Pay Bonus/Short Term Incentive opportunity and potential equity-based long-term incentive program; Benefits: Competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days (for permanent roles)

Skills & Requirements

Key Requirements

• Experience in late-stage oncology trials
• Proficiency in SAS and R
• Familiarity with regulatory guidelines
• Experience with Bayesian or simulation-based design

Work Rights