IT Intern – AI & Transformation

WEP Clinical

. Support the Information Technology function by partnering with cross-functional departments to identify opportunities where AI and automation can streamline work, improve data-driven decision-making, and enable digital transformation .

Posted 11/10/2026internshipMorrisville • North Carolina • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and automation solutions, utilizing Python and low-code/no-code platforms for workflow automation. Proficient in data analysis, SQL, and visualization tools like Tableau and Power BI, while adhering to responsible AI principles.

Highest-signal resume keywords

Python ScriptingSQL Query DevelopmentWorkflow Automation Using Power AutomateData Visualization With TableauAI Governance Awareness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData AnalysisWorkflow AutomationData CleaningData TransformationPrompt EngineeringMachine Learning ConceptsAPI IntegrationETL Processes

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsOrganizational SkillsCollaboration

Tools & Technologies

Power AutomatePower AppsTableauPower BIMicrosoft CopilotCloud PlatformsGenerative AI ToolsAI-Enabled ToolsData PipelinesRPA Tools

Industry Keywords

Digital TransformationData PrivacyResponsible AIAutomationAI-Enabled Solutions

Tech Stack

Tools & technologies

AzureCloudETLPythonRPASQLTableau

About the role

Key responsibilities & impact

Support the Information Technology function by partnering with cross-functional departments to identify opportunities where AI and automation can streamline work, improve data-driven decision-making, and enable digital transformation
Collaborate with stakeholders to understand workflows, pain points and manual processes, and identify high-value AI and automation opportunities
Gather and document business and technical requirements, use cases and success measures
Design, build and maintain workflow automations using Python and low-code/no-code platforms such as Power Automate and Power Apps
Evaluate, prototype, test and help implement AI-enabled tools such as Microsoft Copilot, generative AI assistants and machine learning services
Develop prompts, agents and AI-assisted workflows, and document guidance and best practices
Apply responsible-AI principles covering data privacy, security, accuracy validation and human oversight
Develop and optimize SQL queries and data pipelines for analytics, automation and AI use cases
Support data analysis by identifying trends, insights and process-improvement opportunities
Present automation impact and insights through dashboards and visualizations in Tableau, Power BI or similar tools
Support system integrations, API-based connections and enhancements under senior IT or data team guidance
Track and report automation and AI initiative benefits, including time saved, error reduction and adoption
Prepare documentation such as process maps, technical notes, testing evidence and user guidance
Support change management and user training
Participate in project meetings, provide status updates and contribute to continuous improvement and innovation initiatives

Requirements

What you’ll need

Currently pursuing a degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Analytics, Engineering or a related field
Strong analytical and problem-solving skills
Ability to translate business needs into automation and AI-enabled solutions
Demonstrated interest and curiosity in AI, automation and emerging technologies
Awareness of responsible and ethical AI use, including data privacy, security and AI-output limitations
Strong written and verbal communication skills
Ability to work with technical and non-technical stakeholders
Highly organized and detail-oriented
Ability to manage multiple tasks, work independently and collaborate effectively
Experience with Python for scripting, automation and data analysis
Working knowledge of SQL and relational databases
Understanding of data cleaning, transformation and reporting
Familiarity with Tableau, Power BI or other data visualization and business intelligence tools
Familiarity with generative AI tools, prompt engineering and AI assistants such as Microsoft Copilot
Exposure to AI and machine learning concepts, tools or frameworks
Familiarity with workflow automation or low-code/no-code platforms such as Power Automate and Power Apps
Basic understanding of systems, data flows and technology-enabled process improvement
Experience with APIs, ETL processes, RPA or data integration tools (preferred)
Exposure to cloud platforms such as Microsoft Azure and cloud-based AI services (preferred)
Understanding of AI governance, data protection or regulated GxP environments (preferred)
Prior internship, academic project or practical experience involving AI, automation, data or systems (preferred)
Resume must be submitted in English
Candidates must reside in an eligible U.S. state where the company is authorized to hire; residents of California, Colorado, New York, Washington, New Jersey, Massachusetts, Illinois, Hawaii, and District of Columbia are not eligible

Benefits

Comp & perks

Paid Internship
Paid Time Off & Sick Time
Medical Benefits
Volunteer Day
Wellness, growth and development, and team relationship initiatives
Inclusive, supportive work environment
Reasonable accommodation for qualified individuals with known disabilities