Biology Expert - Remote

YO IT Consulting; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

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

You will collaborate with platform teams to clarify ambiguities, improve data quality and coverage, document methodologies, and support transparency and reproducibility in

Qualifications

• PhD in biology or closely related life science.
• Ability to contextualize complex topics for diverse audiences.
• Excellent written and verbal communication.
• Experience with scientific data analysis and synthesis of intricate subject matter.
• Ability to work independently and deliver high-quality outputs within project frameworks.
• Interdisciplinary project experience; AI exposure is a plus.
• Attention to detail and scientific rigor.

Responsibilities

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

Skills

Biology expertise

Communication skills

Data analysis

Independent worker

Interdisciplinary collaboration

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.