Intern-IT – AI Team - Data

Working as part of the AI Readiness Intern Team, this intern will support the data readiness workstream for prioritized, high‑value AI use cases across business and scientific functions. The role focuses on finding, assessing, and improving data availability, quality, lineage, and access needed to move use cases from “marginally ready” to “deployment‑ready.” The intern will collaborate with the AI Hub, AI champions in R&D, Clinical, Technical Operations, and corporate functions. The program culminates in a final presentation on “Accelerating AI Use Case Readiness: Data.”

This internship is office-based and will report to the Director, AI Automation and Integration.

Job Responsibilities

• Support data readiness assessments for prioritized AI use cases (profiling, quality checks, completeness, lineage

• Learn how to map enterprise data sources, metadata, and governance processes to use case requirements

• Review data pipelines and integration points; identify gaps in ingestion, transformation, or access controls

• Partner with team of IT Interns on the AI squad, business SMEs, data stewards, and platform engineers to validate requirements and close data gaps

• Observe cross‑functional workflow handoffs and how data quality impacts downstream analytics/ML

• Review and enhance data documentation (glossaries, dictionaries, lineage diagrams)

• Participate in building lightweight AI use case and analytics prototypes to validate feasibility

• Assist in defining readiness KPIs (e.g., data completeness, timeliness, quality scores)

• Maintain a backlog of data issues and remediation actions; track progress with stakeholders

• Communicate findings via concise updates and visualizations for diverse audiences

• Collect lessons learned to contribute to a Data Readiness Playbook

• Present a final readout: impact achieved, insights, and recommendations

Minimum Requirements

• Must be pursuing a Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Management Information Systems (MIS) or related discipline

• Must be at least a Junior in university at the time of application

• Required technical experience:

• Coursework or academic exposure to data analysis concepts

• Experience using Excel or Google Sheets for sorting, filtering, pivot tables, and basic analysis

• Knowledge of data structures, tables, and relationships

• Familiarity with data cleaning concepts (e.g., formatting consistency, identifying missing values)

• Ability to summarize findings clearly in written and visual formats

• Required systems experience:

• Familiarity with spreadsheets as a primary data organization tool

• Experience using collaboration tools (Teams, SharePoint, or similar)

• Ability to work with documentation tools such as PowerPoint or Google Slides

• Comfort navigating new systems, dashboards, or repositories

• Understanding of what a “data source” is and ability to document metadata with guidance

• Strong sense of accountability; ability to prioritize multiple tasks

• Excellent organizational skills and attention to detail

• Flexible and willing to support a variety of tasks for the AI Hub team

• Proactive, solution‑driven mindset; clear written and verbal communication

• Available to work full‑time at the office during the summer months (May–August)

Preferred Education, Experience and Skills

• Prior internship, project, or research involving data quality, ETL, or analytics

• Introductory experience with Python (pandas) or SQL learned in coursework

• Exposure to visualization tools (Power BI, Tableau, Google Data Studio)

• Experience with any class project involving data cleaning or exploratory analysis

• Awareness of data governance or metadata concepts

• Familiarity with life‑sciences/health data concepts (e.g., assay data, clinical trial data standards)

• Experience building dashboards with stakeholder‑friendly storytelling