AI-Driven SharePoint Transformation Fellow

Oak Ridge Institute for Science and Education

Atlanta (GA)

On-site

USD 40,000 - 55,000

Full time

14 days+
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Job summary

The Centers for Disease Control and Prevention (CDC) in Atlanta, GA, offers a mentored research opportunity in the Division of Environmental Health Science and Practice (DEHSP). The project focuses on applying AI/ML to automate processes within SharePoint and Microsoft platforms, including HR, Budget, and Travel workflows.

Participants will gain hands-on experience with LLMs, prompt engineering, and dashboard reporting, with a one-year, full-time placement and a monthly stipend.

Qualifications

  • Master’s degree earned within the last five years in Data Science, Computer Science, Information Systems, or related field.
  • Experience with low-code/no-code automation platforms (Power Automate, SharePoint) and AI integration.

Responsibilities

  • Engage in mentored research on AI/ML for workflow automation within SharePoint and Microsoft platforms.
  • Develop dashboards and metrics to illustrate trends and resource usage.
  • Translate SOPs into automated workflows and document findings for non-technical stakeholders.
  • Test and validate AI outputs and provide technical training materials for users.

Skills

AI integration
SharePoint
Low-code/no-code automation
Power Automate
API development
Data visualization with Power BI
Technical communication
Dashboard design

Education

Master’s degree in Data Science, Computer Science, Information Systems, or related field earned within the last five years

Tools

Power Automate
Power BI
Microsoft ecosystem
SharePoint

Job description

The Centers for Disease Control and Prevention (CDC) in Atlanta, GA, offers a mentored research opportunity in the Division of Environmental Health Science and Practice (DEHSP). The project focuses on applying AI/ML to automate processes within SharePoint and Microsoft platforms, including HR, Budget, and Travel workflows.

Participants will gain hands-on experience with LLMs, prompt engineering, and dashboard reporting, with a one-year, full-time placement and a monthly stipend.

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