AI Operations Analyst- 2 positions available

Marshall University•Huntington, WV

About The Position

The AI Operations Analyst applies artificial intelligence, predictive analytics, machine learning, and automation tools to enhance operational performance, participant engagement, clinical workflow efficiency, and decision support. The position works collaboratively with clinical, technical, operational, and evaluation teams to identify opportunities for responsible AI implementation that improve program effectiveness while maintaining appropriate governance, privacy, and regulatory compliance.

Requirements

  • Artificial intelligence
  • Predictive analytics
  • Machine learning
  • Automation tools
  • AI-enabled operational analytics tools and dashboards
  • Predictive models
  • Automated triage, risk stratification, and prioritization workflows
  • AI system performance monitoring
  • Automated reporting and workflow optimization solutions
  • Utilization patterns, engagement trends, and operational performance metrics analysis
  • Advanced analytics initiatives
  • Natural language processing
  • Intelligent reporting
  • Decision-support tools
  • AI-driven technologies
  • Governance processes related to AI safety, transparency, data quality, and privacy
  • Training staff on AI-enabled tools
  • Documentation for models, workflows, assumptions, and performance monitoring activities

Responsibilities

  • Develop and maintain AI-enabled operational analytics tools and dashboards.
  • Assist in the design and deployment of predictive models that identify participants at risk for disengagement, deteriorating clinical status, or adverse outcomes.
  • Support automated triage, risk stratification, and prioritization workflows using approved clinical and operational criteria.
  • Monitor AI system performance, accuracy, reliability, and fairness.
  • Develop automated reporting and workflow optimization solutions.
  • Analyze utilization patterns, engagement trends, and operational performance metrics.
  • Collaborate with evaluators and data specialists to support advanced analytics initiatives.
  • Translate large datasets into actionable operational recommendations.
  • Assist with implementation of natural language processing, intelligent reporting, decision-support tools, and other AI-driven technologies.
  • Support governance processes related to AI safety, transparency, data quality, and privacy.
  • Train staff on AI-enabled tools and promote responsible use practices.
  • Maintain documentation for models, workflows, assumptions, and performance monitoring activities.
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