Biology Expert - Remote

YO IT Consulting; Finland (MN); On-site; USD 90,000 - 150,000; Full time

Job summary

YO IT Consulting is seeking a biology-focused reviewer to critically evaluate AI-related biology data, prompts, and content. You will create and refine scientific scenarios and explanations reflecting real-world biology problems, providing expert insights to ensure accuracy in AI training datasets and outputs.

You will collaborate with platform teams to clarify ambiguities, document methodologies, and contribute to transparency and reproducibility across project deliverables, while engaging in

Qualifications

• PhD in biology or closely related life science.
• Ability to contextualize complex topics for diverse audiences.
• Exceptional written and verbal communication skills.
• Experience with scientific data analysis and evaluation of research.
• Proven ability to work independently within project constraints.
• Exposure to AI 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 and explanations reflecting real-world biology problems.
• Offer expert insights to ensure accuracy and relevance 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 and reproducibility.
• 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

Biology knowledge

Scientific data analysis

Critical evaluation

Communication skills

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.