Data Analyst and Senior Data Analyst

Data analysts support FRI research projects in a variety of ways, focusing on data management, statistical analysis, and data visualization. Most data analysts work across several projects concurrently, often contributing to experimental scientific work exploring how to improve forecasting methods, as well as applied work making use of forecasting methods to better understand important topics.

• Conducting descriptive and statistical analyses of data from forecasting surveys or experiments
• Developing high-quality data visualizations
• Helping to design experiments, with an emphasis on data collection and management, power analysis, and survey design
• Contributing to written reports and papers, particularly methods and results sections

This role advances the science of forecasting to improve decision-making on high-stakes issues, including AI progress, bioweapons, and nuclear risk, by developing practical forecasting tools and applying them to society's most critical decisions.

• Experienced programmer in R or Python
• Thorough understanding of statistics
• Clear, explicit communicator and strong writing skills
• Ability to work productively in a self-directed (remote) environment

• Salary commensurate with experience, likely between $70,000-$130,000
• 80% contribution towards fully funded health insurance
• 30 days per year of paid time off (including holidays)
• Up to 10 days of paid sick leave
• Regular team retreats and virtual collaboration sessions

The Forecasting Research Institute is a team developing forecasting methods to improve decision-making.