Biology AI Data Quality Lead

YO IT Consulting; Dubai; On-site; AED 200,000 - 380,000; Full time

Job summary

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

Collaborate with platform teams to clarify ambiguities, improve data quality, and document methodologies to support transparency and reproducibility in project deliverables.

Qualifications

• PhD in biology or closely related life science discipline.
• Ability to contextualize complex topics for diverse audiences.
• Excellent written and verbal communication skills.
• Experience with scientific data analysis and critical evaluation.
• Ability to work independently and deliver high-quality outputs.
• Experience on interdisciplinary scientific or tech projects.

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 data and system outputs in biology.
• Collaborate with platform teams to improve data quality, coverage, and representativeness for biological subject matter.
• Document findings, methodologies, and rationale to support transparency and reproducibility in deliverables.
• Participate in iterative review cycles to enhance the AI system’s capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts to enrich project outcomes.

Skills

Scientific analysis

Written communication

Critical evaluation

Independent work

Interdisciplinary collaboration

Education

PhD in biology

Job description

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

Collaborate with platform teams to clarify ambiguities, improve data quality, and document methodologies to support transparency and reproducibility in project deliverables.