Tech Stack

Description

You will lead statistical strategy for exploratory analyses, real-world evidence, and HEOR in oncology. You'll collaborate across teams to generate evidence supporting our pipeline and medical strategy.

Requirements

• PhD in Statistics/Biostatistics with 8+ years or MS with 12+ years biotech/pharma experience
• Solid knowledge of oncology statistical methodologies including survival analysis and causal inference
• Hands-on experience in exploratory analysis of oncology trials
• Proven ability to lead statistical aspects of complex cross-functional projects
• Proficiency in SAS and/or R

Responsibilities

• Provide statistical leadership for exploratory data analyses using clinical trial and real-world data
• Serve as primary statistical contact for assigned projects, collaborating with cross-functional teams
• Lead design, analysis, and interpretation of complex statistical models including survival analysis and causal inference
• Manage relationships with external partners (CROs) ensuring timelines and quality
• Mentor junior statisticians and contribute to regulatory interactions and publications