Transform advanced analytics into impactful solutions with Astra Zeneca as a Data Scientist. This role emphasizes AI-driven analytics and statistical modeling for rare diseases in a hybrid work workplace.

As a vital member of Astra Zeneca'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 Astra Zeneca's mission in rare disease analytics.
J-18808-Ljbffr

📌 Data Scientist Advanced Analytics At Astrazeneca Mississauga
🏢 AstraZeneca
📍 Mississauga