Biology Expert - Remote

YO IT Consulting; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

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

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

Qualifications

• PhD in biology or closely related life science discipline.
• Expertise in core biological principles with ability to contextualize complex topics.
• Exceptional written and verbal communication skills.
• Experience with scientific data analysis and synthesis of intricate subject matter.
• Proven ability to work independently and deliver high-quality outputs.
• Prior contributions to interdisciplinary scientific or technology-focused projects (AI exposure a plus).
• Keen 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 insights to ensure accuracy and depth of training datasets and system outputs.
• Collaborate with platform teams to clarify ambiguities and improve data quality.
• Document 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.

Skills

PhD in biology or life sciences

Strong writing & communication

Data analysis

AI/ML familiarity

Independent work

Education

PhD in biology or closely related life science discipline

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.