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 skilled 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.

📌 Data Scientist - Advanced Analytics at AstraZeneca (Mississauga)
🏢 AstraZeneca
📍 Mississauga