Remote Computational Biology & Bioinformatics Reviewer

AuraOne, Inc.; United States; Remote; USD 83,000 - 152,000; Full time

Job summary

AuraOne, Inc. is seeking a Computational Biology & Bioinformatics Expert (PhD) for a remote review track to evaluate AI outputs across biology reasoning, calculations, and research workflows.

Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it. The role emphasizes rigorous derivations, flagging errors with structured notes, and maintaining reviewer quality scores.

Qualifications

• Graduate-level training or equivalent applied experience in biology or a closely related field for Computational Biology & Bioinformatics Expert (PhD) 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.

Responsibilities

• Review AI outputs against current biology methods, conventions, and prior work for Computational Biology & Bioinformatics Expert (PhD) 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Biology

Education

Graduate-level biology training or equivalent

Job description

AuraOne, Inc. is seeking a Computational Biology & Bioinformatics Expert (PhD) for a remote review track to evaluate AI outputs across biology reasoning, calculations, and research workflows.

Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it. The role emphasizes rigorous derivations, flagging errors with structured notes, and maintaining reviewer quality scores.