AI Operations Analyst

Marshall University School of Pharmacy; Huntington (WV); On-site; USD 65,000 - 90,000; Full time

Job summary

Marshall University School of Pharmacy seeks an AI Operations Analyst to apply AI, predictive analytics, and automation to improve clinical workflows and program effectiveness. You will collaborate with clinical and data teams to implement responsible AI with governance and privacy in mind.

The role involves developing AI-enabled dashboards, models, and automated reporting, monitoring performance and fairness, and training staff on new tools. Open Date 2026-10-08; Open Until Filled.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Health Informatics, Analytics, Engineering, Mathematics, Statistics, or related field.
• Three years of experience in analytics, business intelligence, data science, healthcare informatics, or operational improvement.
• Experience using AI, machine learning, predictive analytics, or automation tools.

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 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.

Skills

Analytical thinking

Data visualization

Communication

Education

Bachelor's degree in Data Science, Computer Science, Health Informatics, Analytics, Engineering, Mathematics, Statistics, or related field

Tools

Azure AI

Microsoft Fabric

Power BI

Python

R

SQL

ML platforms

Cloud-based analytics environments

Job description

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.

Essential Duties and 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.

Location

Location OTHR - Other Off-Campus Location

Salary Range

Salary Range Salary is commensurate with education, experience, and internal equity

Required Qualifications

Education

• Bachelor’s degree in Data Science, Computer Science, Health Informatics, Analytics, Engineering, Mathematics, Statistics, or related field.

Experience

• Three years of experience in analytics, business intelligence, data science, healthcare informatics, or operational improvement.
• Experience using AI, machine learning, predictive analytics, or automation tools

Preferred Qualifications

Education

• Master’s degree in Data Science, Artificial Intelligence, Analytics, Computer Science, Informatics, or related field.

Experience

• Healthcare analytics experience.
• Experience with Azure AI, Microsoft Fabric, Power BI, Python, R, SQL , machine learning platforms, or cloud-based analytics environments.
• Experience supporting population health, chronic disease management, telehealth, or remote monitoring programs.

Posting Number

MR0929

Open Date

Open Date 10/08/2026

Close Date

Open Until Filled Yes