About the role
Opportunity Overview
Handshake is looking for experienced statistical and biostatistical modeling researchers to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on expertise in applied statistical and biostatistical methods, including statistical modeling, Bayesian inference, causal inference, longitudinal and time series analysis, experimental design, and related quantitative approaches to evaluate AI-generated content and provide feedback that helps AI better understand advanced statistical reasoning and methodology.
This is an ongoing, project-based opportunity you can take on alongside your current work.
What You'll Do
Use your domain expertise to 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
Bachelor’s, Master’s, or Ph.D. in Statistics, Biostatistics, Econometrics, Data Science, or a related quantitative field Deep expertise in one or more areas of statistical or biostatistical methodology, such as statistical modeling, Bayesian methods, causal inference, regression, experimental design, longitudinal or time-to-event analysis, time series, or related quantitative methods Experience applying statistical or biostatistical methods to real-world research questions, data, or scientific problems Active engagement with current statistical and/or biostatistical research and literature Proficiency with R, Python, Stan, or similar statistical computing and modeling tools Strong written communication skills, attention to detail, and the ability to work independently in a remote, asynchronous environment