Transform advanced analytics into impactful solutions with AstraZeneca as a Data Scientist. This role emphasizes AI-driven analytics and statistical modeling for rare diseases in a hybrid work environment.
As a vital member of AstraZeneca's analytics team, you'll leverage your expertise to drive decisions that optimize patient outcomes. Collaborate closely with cross-functional teams while employing cutting-edge technologies such as Snowflake Cortex AI to deliver robust statistical models and insights that inform clinical strategies. Your work will have a direct impact on commercial effectiveness in the realm of rare diseases.
Key Responsibilities:
• Design and deploy predictive models utilizing XGBoost and Random Forest
• Build and validate survival models to enhance patient adherence




• Create time-series forecasting frameworks for demand planning
• Implement A/B testing and quasi-experimental designs
• Develop recommendation systems to improve healthcare qualified engagement
Requirements:
• Master’s or PhD in a quantitative field
• 6+ years in data science applied to healthcare
• Proficient in Python and SQL for analytical tasks
• Experience with Bayesian modeling and Next-Best-Action engines
• Solid understanding of HIPAA de-identification standards
Contribute your statistical expertise to elevate AstraZeneca's mission in rare disease analytics.
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📌 Data Scientist - Advanced Analytics at AstraZeneca (Mississauga)
🏢 AstraZeneca
📍 Mississauga