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Summary
About the Role
About You
- MS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field.
- 5+ years of experience applying statistical methods to healthcare data.
- Proficiency in Python, R, or similar programming languages for data analysis.
- Experience with statistical modeling and analysis of longitudinal data.
- Strong background in experimental design and hypothesis testing.
- Demonstrated expertise in handling large, complex datasets.
- PhD in Statistics, Biostatistics, Data Science, or related quantitative field.
- Experience analyzing healthcare data.
- Knowledge of healthcare industry regulations and processes.
- Familiarity with healthcare data standards.
- Publication record in relevant scientific journals.
- Experience with distributed computing platforms.
- Strong communication skills and ability to present technical concepts to non-technical audiences.
- Experience applying causal inference frameworks to real-world problems.
- Familiarity with modern causal discovery and inference techniques.
- Knowledge of counterfactual analysis methods.
Benefits
- Competitive salary ranging from $150k–$260k based on geographic market.
- Comprehensive benefits package including medical, financial, and other benefits.
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.