Statistical Modeling Researcher

What You'll Do

• Create expert-level training questions and scenarios based on real statistical modeling research and methods
• Review and evaluate AI-generated responses for accuracy and relevance to real-world statistical analysis and methodology
• Provide structured written feedback to help improve AI model performance
• Complete tasks at your own pace with no set schedule or minimum hour requirement

Qualifications

• PhD in Statistics, Biostatistics, Econometrics, or a related field from a top 100 US university
• Deep expertise in one or more areas such as Bayesian inference, time series analysis, causal inference, or regression modeling
• Active use of arxiv.org (stat) to stay current with research
• Proficiency with R, Python, Stan, or similar tools
• Strong written communication skills, attention to detail, and the ability to work independently in a remote, asynchronous environment

Pay

This opportunity is paid hourly.

Schedule

Tasks are completed at your own pace with no set schedule or minimum hour requirement.