Life Sciences Research Scientist (PhD): Wet Lab & Computational

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

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Biology

Educación

Graduate-level training or equivalent in biology

Descripción del empleo

Category: Scientific AI & Domain Experts · Pay: $120 / hr · Location: Remote — US-eligible · Contractor

Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology is a remote review track for evaluating AI outputs across biology reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Why this role matters

Biology models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would — checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.

Responsibilities

• Review AI outputs against current biology methods, conventions, 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.

Qualifications

• Graduate-level training or equivalent applied experience in biology or a closely related field for Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology 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

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.