CDC Digital Transformation Fellowship

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 – bja3@cdc.gov

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
o‑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

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