Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 4, 2026.
Evaluate causal analyses, experiment design, statistical inference, metric construction, and decision recommendations for high-stakes product and policy questions.
Review identification strategies, estimands, power assumptions, sampling choices, and uncertainty statements for statistical validity.
Identify confounding, selection bias, leakage, post-treatment adjustment, weak counterfactuals, and conclusions that exceed the evidence.
Provide reference analyses that connect rigorous methodology to decisions in language non-specialist stakeholders can understand.
Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.
Responsibilities
- Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
- Apply current standards, methods, and risk considerations from technology & computing.
- Document errors, edge cases, and the reasoning behind an ideal response.
- Collaborate asynchronously with Alpheva's research and evaluation teams.
Required Qualifications
- Graduate degree or equivalent expertise in statistics, economics, biostatistics, or a related quantitative field
- 7+ years applying experimentation, causal inference, or advanced statistical modeling
- Expertise in identification strategy, bias, uncertainty, and communicating limitations

