Biology Expert - Remote

YO IT Consulting; Washington (Washington County); On-site; USD 90,000 - 130,000; Full time

Job summary

YO IT Consulting is seeking a biology-focused specialist to critically evaluate AI-related biology data and prompts, and to create advanced scientific scenarios for real-world problems. The role emphasizes expert feedback, accuracy, and depth across AI training datasets in biology.

Responsibilities include collaborating with platform teams, documenting methodologies, and contributing to iterative reviews to improve bioscience outputs for interdisciplinary AI projects.

Qualifications

• PhD required or equivalent in biology or closely related life sciences.
• Strong ability to analyze scientific data and research findings.
• Excellent written and verbal communication for scientific feedback.
• Ability to contextualize complex biology topics for varied audiences.
• Proven track record of delivering high-quality outputs independently.
• Experience with interdisciplinary scientific/tech projects is a plus.

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 biological problems.
• Offer expert insights to ensure accuracy and depth of AI training datasets and outputs in biology.
• Collaborate with platform teams to clarify ambiguities and improve data quality and representativeness.
• Document methodologies and rationale to support transparency and reproducibility.
• 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

Biology fundamentals

Data analysis

Scientific writing

Critical evaluation

Independent work

Education

PhD in biology or 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.