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Statistician

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Remote

Statistician

Handshake

Statistician

Skills

PythonData ScienceRAI

2 months ago

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Important information


Contract type:

Part time

Salary:

$156,000 / year

Location:

United States

Work mode:

Remote

Published on:

20 August 2026

What they need


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

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