You will craft regulatory-grade evidence from real-world data, guiding submissions that can speed approvals, support label expansions, and fulfill post-market commitments
Job Summary
You will craft regulatory-grade evidence from real-world data, guiding submissions that can speed approvals, support label expansions, and fulfill post-market commitments.
Joining our growing epidemiology and real-world evidence capability, you will apply statistical methodologies tailored for registries, align to AstraZeneca standards, and contribute to a portfolio that demands rigor, creativity, and impact.
Join us in our unique and ambitious world where we value kindness alongside ambition, integrity alongside innovation, and we equip you with tailored development and the freedom to own your impact.
Matching Summary
You will craft regulatory-grade evidence from real-world data, guiding submissions that can speed approvals, support label expansions, and fulfill post-market commitments.
Skills & Requirements
Must-have
Registry data analysis
Regulatory-grade evidence generation
Longitudinal observational cohorts
Survival analysis
Causal inference
Propensity score modeling
Longitudinal modeling
Nice-to-have
Methodological innovation
Cross-functional collaboration
External collaboration
Data quality assessment
Cohort construction
Missing data strategies
Key Requirements
Advanced degree in statistics or biostatistics
Proficiency with R and/or SAS
Experience generating real-world evidence for rare diseases
Contribution to regulatory submissions using registry analyses