Biology Expert - Remote

YO AI Labs

Illinois

Remote

USD 90,000 - 120,000

Part time

3 days ago
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Job summary

YO AI Labs is seeking a Biology Expert for a remote, contract engagement to critically evaluate biology-related data used in AI workflows. The role includes creating and refining scientific scenarios, ensuring accuracy in AI training datasets, and collaborating with platform teams to improve data quality and coverage.

The ideal candidate holds a PhD in biology, can contextualize complex topics for diverse audiences, and communicates clearly both in writing and speech.

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.

Responsibilities

  • 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.

Skills

Biology expertise
Scientific data analysis
Critical evaluation
Independent work
Communication skills

Education

PhD in biology

Job description

Job Description

Role Title: Biology Expert

Role Type: Contract

Location: Remote

Scope of Work:

  • 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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