About the role
Bring senior statistics expertise to AI evaluation projects focused on statistical inference, study design, uncertainty, and reproducibility. Review model responses and worked examples for invalid derivations, confounding factors, and conclusions unsupported by the data. Assess whether the reasoning meets professional standards for the stated task. Write reference answers and scoring criteria grounded in statistical inference, study design, uncertainty, and reproducibility. Explain consequential errors, evidence gaps, and the reasoning behind your corrections. This is remote, project-based contract work. Scope, hours, and assignments depend on project matching; the listed hourly range applies to matched work.
What we're looking for
- 7+ years of substantive experience in professional statistics or biostatistics.
- Demonstrated senior-level judgment in statistical inference, study design, uncertainty, and reproducibility, with substantial responsibility for reviewing or delivering this work.
- Ability to write precise reference answers, assess competing approaches, and justify corrections with traceable evidence.