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Biology Expert - Remote

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: YO IT Consulting
Remote/Work from Home position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling, Data Analyst, Data Scientist
  • Research/Development
    AI Evaluation, Data Annotation/ AI Labeling, Data Scientist
Salary/Wage Range or Industry Benchmark: 65000 - 100000 GBP Yearly GBP 65000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

  • Critically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows.
  • Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems.
  • Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in the biological domain.
  • Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.
  • Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
  • Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.
  • Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.
Job Description
  • Critically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows.
  • Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems.
  • Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in the biological domain.
  • Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.
  • Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
  • Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.
  • Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.
Preferred Qualifications
  • PhD in biology or a closely related life science discipline.
  • Demonstrated expertise in core biological principles with the ability to contextualize complex topics for diverse audiences.
  • Exceptional written and verbal communication skills, ensuring clear articulation of feedback and scientific reasoning.
  • Experience with scientific data analysis, critical evaluation of research, and synthesis of intricate subject matter.
  • Proven ability to work independently, consistently delivering high‑quality outputs within defined project frameworks.
  • Prior contributions to interdisciplinary scientific or technology‑focused projects (exposure to AI is a plus but not mandatory).
  • Keen attention to detail, consistency, and a passion for promoting scientific rigor and accuracy.
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