Remote Computational Biology & Bioinformatics Reviewer

AuraOne; United States; A distancia; USD 141.000 - 190.000; Jornada completa

Descripción de la vacante

AuraOne is seeking a Computational Biology & Bioinformatics Expert (PhD) for a remote contractor role. You will review AI outputs in biology reasoning, reproduce key derivations, and document the correct method to guide model training.

Responsibilities include grading outputs, flagging errors with severity tags, and ensuring consistency across batches. The role requires strong published research experience and the ability to work asynchronously for at least 10 hours weekly.

Formación

• PhD or equivalent in biology or a closely related field.
• Experience publishing, teaching, or advising on the topic at a professional level.
• Ability to apply 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.

Responsabilidades

• 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.

Conocimientos

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Biology

Educación

PhD in Computational Biology or Bioinformatics

Descripción del empleo

AuraOne is seeking a Computational Biology & Bioinformatics Expert (PhD) for a remote contractor role. You will review AI outputs in biology reasoning, reproduce key derivations, and document the correct method to guide model training.

Responsibilities include grading outputs, flagging errors with severity tags, and ensuring consistency across batches. The role requires strong published research experience and the ability to work asynchronously for at least 10 hours weekly.