The work

You will turn situations from statistical practice into realistic evaluation problems involving trial design, survival analysis, dose response, genetic studies or related biomedical analyses. Each problem needs a worked reference answer that explains the statistical reasoning, assumptions, diagnostics and practitioner-level errors an apparently plausible solution might contain.

Screening focus

The platform screens for at least three years of full-time work in a statistical role, hands-on work with clinical, epidemiological or genetic data, and the ability to defend methodological choices under follow-up. A Master's or PhD in biostatistics, statistics, epidemiology, statistical genetics or pharmacometrics is required. Comfort with R, SAS or Python is required for statistical analysis, and strong written English is required for clear explanations. Clinicians and wet lab scientists without a statistics role are not the intended candidates.

Practical details

This is a remote, independent contractor role with ongoing project work. Work is fully async, with no fixed hours, a minimum commitment of 10 hours per week and no maximum. You may scale your workload up or down from week to week. Payment is weekly through Stripe, and the platform states that it does not use screen recording, keystroke monitoring or idle timers.

Pay band: $115/hr