The role
Research assistants support project leads in a variety of ways. Example tasks include:
- Literature reviews
- Distilling complex topics into forecastable questions
- Responding to forecasters’ questions or clarification requests
- Assisting project leads in designing and conducting experiments
- Analyzing data and aggregating forecasts from in-progress and previous forecasting tournaments and experiments
- Helping to run forecasting tournaments
- Collecting historical data underlying forecasting questions to embed in forecasting tournaments
Qualifications
The ideal candidate would have the following characteristics, but do not let this list prevent you from applying:
- Generalist research skills
- Clear, explicit communicator
- Strong writing skills
- Familiarity with, and interest in, quantitative forecasting
- Ability to work productively in a self-directed (remote) environment
- Comfort taking on new challenges and learning new tools
- Familiarity with some of the data skills listed in our data analyst job description, though not required, is preferred
We are aware that women and those from minority groups are less likely to apply for roles if they don't meet every single criteria. We highly encourage you to apply, even if you don't feel completely qualified. Some of the best people we’ve worked with in our careers felt underqualified when they first applied, and we’re glad they did so anyway.
