Statistician - Remote AI Research Fellowship

What You'll Do5

• Build training prompts and scenarios that reflect actual statistical modeling research and applied methods.
• Inspect AI-generated answers for factual errors, flawed reasoning, and gaps in statistical methodology.
• Score model responses against accepted practice in fields such as biostatistics, econometrics, and causal analysis.
• Write structured critiques that explain where a model's reasoning fails and how it should change.
• Work through assignments on your own schedule, with no required hours or fixed deadlines.

Requirements6

• Degree in statistics, biostatistics, econometrics, data science, or another quantitative discipline at bachelor's level or higher.
• Advanced command of at least one specialty: Bayesian methods, causal inference, regression, experimental design, longitudinal analysis, survival or time-to-event models, or time series.
• Track record of using statistical methods on live research questions, data sets, or scientific problems.
• Up-to-date knowledge of statistical or biostatistical literature and current methods.
• Comfort with R, Python, Stan, or comparable statistical computing and modeling software.
• Clear writing, close attention to detail, and the ability to work on your own in a remote setting.

Who Should Apply

The strongest applicants hold a graduate degree in statistics, biostatistics, econometrics, or data science and can point to published or applied work in one or more advanced methods. They write with precision, explain modeling choices in plain language, and keep current with the literature. Candidates who only took introductory statistics courses or who have never applied methods to real data tend to score low, because the tasks demand expert-level judgment. The role is less suitable for people who need fixed schedules, regular supervision, or a permanent position. Applications also suffer when a candidate lists a broad range of methods but cannot show depth in any one area.

Salary Insight