Life Sciences Research Advisor: AI Reasoning Quality

Workada

United States

Remote

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Workada seeks a PhD-profile life sciences researcher to stress-test advanced AI models using your own expertise. Design complex scenarios to reveal where models struggle with high-level scientific reasoning and surface errors with expert-validated corrections.

You will draw on published papers, figures, data, and methods to guide Tasks. No AI/ML background is required; rigorous scientific judgment is the core expertise guiding this work.

Qualifications

  • Candidates must hold or be completing a PhD in a life-science field or have equivalent research depth.
  • Ability to draw on your own published papers as source material for tasks.
  • Ability to read primary literature fluently and evaluate study design, statistics, and evidence.
  • A precise, adversarial eye; enjoy identifying where an argument breaks and explaining it clearly.
  • Honesty about uncertainty, distinguishing evidence from assumptions.
  • No AI or machine-learning background required; scientific judgment is the key expertise.

Responsibilities

  • Stress-test advanced AI models using your specialized research and published findings.
  • Design complex scenarios based on your expertise to identify where models struggle with high-level scientific reasoning.
  • Surface subtle reasoning errors and provide expert-validated corrections to improve model thinking.
  • Contribute to setting standards by grounding AI thinking in rigorous, evidence-based logic.

Skills

Critical thinking
Scientific judgment
Literature review

Education

PhD in life-science field

Job description

Workada seeks a PhD-profile life sciences researcher to stress-test advanced AI models using your own expertise. Design complex scenarios to reveal where models struggle with high-level scientific reasoning and surface errors with expert-validated corrections.

You will draw on published papers, figures, data, and methods to guide Tasks. No AI/ML background is required; rigorous scientific judgment is the core expertise guiding this work.

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