Biology Expert - Remote

YO IT Consulting; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

YO IT Consulting is seeking a PhD-level biology specialist to critically evaluate biology-related data and prompts used in AI development workflows. The role involves creating and refining scientific scenarios that reflect real-world biological problems, and providing expert insights to ensure accuracy and depth in AI training datasets and outputs.

You will collaborate with platform teams to improve data quality, document methodologies for transparency, and participate in iterative reviews to

Qualifications

• PhD in biology or closely related life science discipline is required.
• Exceptional written and verbal communication skills.
• Experience with scientific data analysis and evaluation of research.
• Ability to work independently and deliver high-quality outputs.
• Exposure to AI projects is a plus but not mandatory.

Responsibilities

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

Skills

Written & verbal communication

Scientific data analysis

Independent work

Interdisciplinary collaboration

Education

PhD in Biology or related life science

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.