Website Forecasting Research Institute
Advancing the science of forecasting for the public good.
Forecasting Research Institute is looking for a Research Assistant to join their team on a part-time basis.
Overview
- Part-time role: preference for candidates who will be available 10+ hours/week
- Language: English
- Fully remote
- Salary: starting at $20/hour (depending on experience)
- Applications expires: until filled
Job Description
As a research assistant, you will be supporting 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
- Analysing 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.
This is a part-time role with a preference for candidates who will be able to work 10+ hours/week and start immediately. The role is entirely remote, and applicants can work whichever hours of the day work for them.
Applications are reviewed on a rolling basis, and the hiring process typically involves the following:
- An initial application, including a 1-hour work test
- A paid 10-hour work test
- Three 45-minute interviews with team members
Role Requirements
We are looking for candidates who have:
- Generalist research skills
- Clear, explicit communication skills
- Strong writing skills
- Familiarity with, and interest in, quantitative forecasting.
- Ability to work productively in a self-directed environment
- Comfort taking on new challenges and learning new tools
- Familiarity with some of data skills listed in our data analyst job description (not require, but preferred)
Our ideal candidate would ideally possess all the qualities listed above. However, we encourage candidates to apply even if they do not meet every requirement. We value diversity of experiences and perspectives, and believe that a willingness to learn and grow can outweigh specific skillsets.
To apply for this job please visit docs.google.com.
