Intern- IT, AI Team, Data at AskBio Inc. in Durham, NC

Summary: AskBio Inc. is a fully integrated gene therapy company dedicated to developing life-saving medicines. The intern will support the data readiness workstream for prioritized AI use cases, focusing on improving data availability and quality for deployment-ready use cases. 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 Required Qualifications: - 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 - 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 - 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 Qualifications: - 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 Required Skills: Data analysis, Excel, Google Sheets, Data cleaning Important Skills: Python (pandas), SQL, Data visualization tools Nice-to-Have Skills: Collaboration tools, Documentation tools