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AI Systematic Review Methodologist

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๐Ÿ’Ž Seniority level: Proven experience conducting systematic reviews with several publications in peer-reviewed journals.

๐Ÿ“ Location: United States

๐Ÿ” Industry: Government contracting, technology-driven mission support services

๐Ÿข Company: Aretum

๐Ÿ—ฃ๏ธ Languages: English

โณ Experience: Proven experience conducting systematic reviews with several publications in peer-reviewed journals.

๐Ÿช„ Skills: PythonMachine LearningData science

Requirements:
  • Advanced degree (PhD preferred) in Data Science, Public Health, Epidemiology, or related field.
  • Proven experience conducting systematic reviews with several publications.
  • Expertise in validation studies focusing on AI/LLMs.
  • Proficiency in prompt engineering, data extraction, and evidence synthesis processes.
  • Familiarity with AI/LLM tools like Claude 2, GPT-4, and Hugging Face.
  • Programming skills in Python and R; familiarity with machine learning frameworks.
  • Strong understanding of statistical methods and data quality assurance.
Responsibilities:
  • Design and conduct validation studies on AI and LLMs in evidence synthesis.
  • Develop protocols for systematic reviews integrating AI-driven methodologies.
  • Utilize AI and LLM platforms to semi-automate data extraction.
  • Collaborate with multidisciplinary teams for data extraction refinement.
  • Author and co-author systematic reviews and validation studies.
  • Present findings at conferences and contribute to grant applications.
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