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YO ITコンサルティング

Biology Expert - Remote

YO IT Consulting

Remote ・ 契約

最初に応募しよう

経験
どれでも
給料
求人情報
1
投稿済み
4時間前
作業モード
在宅勤務
教育
PhD in biology or related life science
再開する
応募必須

仕事内容

Overview

This position entails working remotely as a Biology Expert contracted to critically assess and enhance biology-related data within AI development projects. The role centers around ensuring scientific rigor and depth in AI training materials with a focus on biological subjects.

Key Responsibilities

  • Analyze and provide insightful feedback on biological datasets, prompts, and content utilized in AI workflows.
  • Develop, review, and refine complex biological scenarios, questions, and explanations based on real-world contexts.
  • Offer expert guidance to maintain accuracy and relevance in AI training datasets and outputs regarding biology.
  • Collaborate with platform teams to resolve ambiguities and improve the quality and comprehensiveness of biological data.
  • Document methodologies, findings, and reasoning to ensure accountability and reproducibility in deliverables.
  • Engage in iterative review processes to continuously enhance AI system biological capabilities.
  • Participate in interdisciplinary knowledge-sharing to contribute to project enrichment.

Preferred Qualifications

  • Completion of a PhD in biology or a closely related life science field.
  • Deep understanding of fundamental biological concepts with the skill to communicate complex ideas effectively to varied audiences.
  • Excellent written and oral communication proficiencies for articulating feedback and scientific analysis.
  • Proven experience in scientific data analysis, critical evaluation, and synthesizing complex information.
  • Track record of independent work producing consistent, high-quality results within project parameters.
  • Previous involvement in interdisciplinary scientific or technology projects; familiarity with AI is advantageous but not required.
  • Strong attention to detail, commitment to scientific accuracy, and enthusiasm for upholding research integrity.

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