Computational Biology AI Reviewer

Responsibilities: Review AI outputs against current biology methods, conventions, and prior work for Computational Biology AI Reviewer assignments. Reproduce or sanity-check key derivations, calculations, or experimental claims. Flag dimensional, methodological, and citation errors with structured severity tags. Capture the corrected reasoning or worked example so the modeling team can train on it. Adjudicate disputed answers against textbooks, papers, or community standards. Maintain reviewer-quality scores in inter-rater calibration cycles.

Qualifications: Graduate-level training or equivalent applied experience in biology or a closely related field for Computational Biology AI Reviewer work. Hands-on experience publishing, teaching, or advising on the topic at a professional level. Comfort applying multi-page rubrics consistently across long batches. Clear written reasoning that cites methods, papers, or worked examples. Reliable async availability for at least 10 hours per week. Example tasks Reproduce a biology derivation from a model output and flag any algebraic or dimensional errors. Grade a model's literature summary against the cited papers and rate the citation quality. Adjudicate a disputed answer between two reviewers using textbook methods. Audit a 25-row batch for rubric consistency and report drift to the program lead.

Nice to have: PhD, postdoc, or industry research experience in the topic area. Prior work reviewing AI-assisted research tooling and its failure modes. Multilingual fluency for non-English papers and corpora. Skills Scientific reasoning Method validation Citation review Quantitative analysis Biology Research review Computational Work model Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US. Compensation Hourly rate confirmed after the interview process.