Biology Expert - Remote

YO IT Consulting

Mexico

On-site

PHP 5,528,255 - 9,213,759

Full time

14 days+

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Job summary

YO IT Consulting is seeking a senior biology data specialist to critically evaluate biology-related data, prompts, and content used in AI development workflows. You will create and refine scientific scenarios reflecting real-world biological problems and provide expert insights to ensure accuracy and depth of AI training datasets and outputs.

You will collaborate with platform teams, clarify ambiguities, and document methodologies to support transparency and reproducibility in project

Qualifications

  • PhD in biology or closely related field.
  • Ability to contextualize complex topics for diverse audiences.
  • Strong written and verbal communication skills.

Responsibilities

  • Critically evaluate and provide feedback on biology-related data, prompts, or content used in AI development workflows.
  • Create, review, and refine scientific scenarios reflecting real-world biological problems.
  • Offer expert insights to ensure accuracy and depth of AI training datasets and outputs.
  • Collaborate with platform teams to clarify ambiguities and improve data quality for biological subject matter.
  • Document methodologies and rationale to support transparency in project deliverables.
  • Participate in iterative review cycles to enhance AI system capabilities in biology.
  • Engage in knowledge-sharing sessions with interdisciplinary experts.

Skills

Biology expertise
Data analysis
Scientific writing
Communication
Independent work

Education

PhD in biology

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.
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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