Life Sciences AI Review Scientist: Wet Lab & Computational

AuraOne

United States

Remote

USD 141,000 - 190,000

Full time

3 days ago
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Job summary

AuraOne seeks a Life Sciences Research Scientist (PhD) to evaluate AI outputs in wet lab and computational biology, remotely. This review track covers biology reasoning, calculations, and research workflows, assessing the quality of derivations and reproducibility.

You will reproduce key steps, check calculations, and document methods so the modeling team can train on correct and incorrect approaches. This is a contractor role with US-eligible remote work.

Qualifications

  • Graduate-level training or equivalent in biology.
  • Experience publishing, teaching, or advising on the topic at a professional level.
  • Clear written reasoning with citations to methods, papers, or worked examples.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current biology methods and prior work for Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology 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 training or equivalent in biology

Job description

AuraOne seeks a Life Sciences Research Scientist (PhD) to evaluate AI outputs in wet lab and computational biology, remotely. This review track covers biology reasoning, calculations, and research workflows, assessing the quality of derivations and reproducibility.

You will reproduce key steps, check calculations, and document methods so the modeling team can train on correct and incorrect approaches. This is a contractor role with US-eligible remote work.

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