AfterQuery review · AI Training & Data Labeling
Biostatistics Expert — AI Training (AfterQuery)
What the work involves
AfterQuery is hiring biostatisticians, pharmacometricians and statistical geneticists for a remote, project-based role. You'll author realistic biostatistics problems drawn from your own work — trial design, survival analysis, dose response or genetic studies — and work each one through to a reference answer, with the statistical reasoning behind every step, so frontier AI labs can test model judgement. The value is in catching the methodological mistakes that look reasonable but only a practitioner would spot.
Work is fully async with no fixed hours, a minimum of 10 hours per week and no maximum, and you can scale up or down week to week. Independent contractor with ongoing project work, paid weekly via Stripe. No screen recording, keystroke monitoring or idle timers. This is not a role for clinicians or wet-lab scientists without a statistics role.
What you'll do
- Author realistic biostatistics problems drawn from your work: trial design, survival analysis, dose response or genetic studies
- Work each problem through to a reference answer, with the statistical reasoning behind every step
- Catch the methodological mistakes that look reasonable but only a practitioner would spot
Requirements & eligibility
- Master's or PhD in biostatistics, statistics, epidemiology, statistical genetics or pharmacometrics
- 3+ years full time in a statistical role (internships and school don't count)
- Hands-on experience with clinical, epidemiological or genetic data
- Comfortable with R, SAS or Python for statistical analysis
- Strong written English and able to explain an analysis clearly
- Able to commit at least 10 hours per week
- Experience designing trials, running survival or mixed models, building PK/PD models or analyzing genetic association studies (preferred)
How to apply
Applications go directly to AfterQuery. Read their terms before you sign up — and if anything feels off, run the scam check below first.
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