CDC Digital Transformation Fellowship

Oak Ridge Institute for Science and Education; Atlanta (GA); On-site; USD 40,000 - 55,000; Full time

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

Organization: Centers for Disease Control and Prevention (CDC)

Reference Code: CDC-2026-0013

Application Deadline: 9/25/2026 3:00:00 PM Eastern Time Zone

Description

A research opportunity is available with the Division of Environmental Health Science and Practice (DEHSP) of the National Center for Environmental Health (NCEH) in Atlanta, Georgia. The candidate will engage in a mentored research experience focused on artificial intelligence and machine learning methods for process automation within SharePoint and Microsoft enterprise platforms.

Project Focus

• Integrating large language models into SharePoint workflows, addressing HR, Budget, and Travel processes.
• Developing intelligent document processing and automated workflow designs.
• Evaluating AI/ML data interpretation methods and presenting results through dashboards.
• Testing and validating AI‑generated outputs for accuracy and data integrity.

Learning Objectives

• Gain hands‑on experience with large language models, prompt engineering, and AI/ML for workflow automation.
• Analyze operational data to create dashboards and metrics that illustrate trends and resource usage.
• Translate standard operating procedures into automated workflows and communicate findings to non‑technical stakeholders.
• Develop user guidance and documentation for AI‑enabled systems.

Mentor

Bethany Anderson – [e-mail]

Appointment Details

Start Date: August 24, 2026 (flexible)

Length: One year, renewable based on funding

Participation Level: Full time

Stipend: Monthly stipend details provided in the offer

Citizenship

U.S. citizen or lawful permanent resident required.

ORISE Program Information

Participants will not be CDC employees and receive no employment‑related benefits. Health insurance must be provided through ORISE. Participants must comply with Environmental, Safety and Health requirements, including COVID‑19 protocols.

Eligibility Requirements

• U.S. citizen or lawful permanent resident.
• Master’s degree earned within the last 60 months.
• Disciplines: Computer Science, Data Science, Information Systems, or related fields such as Artificial Intelligence, Computer Systems Analysis, Graphics & Visualization, Human‑Computer Interaction.

Qualifications

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

Preferred Skills

• Experience with low‑code/no‑code automation platforms (Microsoft Power Automate, SharePoint) and AI integration.
• API development and Microsoft ecosystem proficiency.
• Data visualization with tools such as Power BI.
• Business systems analysis of SOPs and translation into workflows.
• Testing and validation of AI outputs.
• Technical communication and training for non‑technical audiences.

Point of Contact

Rachel