Data Intern

The role

The Data Intern will support the Data & Analytics team in collecting, organizing, analyzing, and visualizing data. This role involves working with enterprise data, business intelligence tools, and cloud data platforms within a regulated life sciences environment.

What you will do

• Assist with collecting, cleaning, transforming, and analyzing structured and unstructured data from multiple business systems.
• Perform exploratory data analysis to identify trends, patterns, anomalies, and potential data quality issues.
• Develop and enhance dashboards, reports, and visualizations using tools such as Microsoft Power BI.
• Write SQL queries to retrieve, analyze, and validate data from databases and cloud data platforms.
• Support data engineering activities, including data ingestion, transformation, validation, and reconciliation.
• Assist with preparing analytics-ready datasets and support the development of data and semantic models.
• Support enterprise data platform initiatives using technologies such as Snowflake, Microsoft Azure, Microsoft Fabric, or similar cloud platforms.
• Assist with documenting data sources, transformations, lineage, metadata, and business rules.
• Perform data quality checks and support the resolution of data inconsistencies.
• Support discussions with business stakeholders to understand and document reporting and analytics requirements.

Required qualifications

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Bioinformatics, or Business Analytics
• Ability to break down problems and use data to develop insights
• Desire to learn new data, cloud, analytics, and AI technologies
• Attention to accuracy, completeness, consistency, and traceability of data
• Ability to summarize analysis and communicate findings clearly
• Ability to work effectively with technical teams and business stakeholders
• Ability to manage assigned tasks, meet deadlines, and raise issues when needed
• Willingness to learn unfamiliar systems, technologies, and business processes
• Basic knowledge of SQL and data analysis concepts
• Coursework, academic projects, or practical experience using Python or a similar programming language

Nice to have

• Familiarity with a data visualization tool such as Power BI, Tableau, or a similar platform
• Exposure to cloud data platforms or data engineering technologies
• Coursework or project experience involving machine learning, generative AI, or large language models
• Familiarity with data governance, data privacy, or regulated environments
• Interest in biotechnology, pharmaceuticals, healthcare, or life sciences

Before you apply

• Applicants must be authorized to work in the United States
• Employment eligibility will be verified through E-Verify

About the company

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life-threatening diseases. Headquartered in Bridgewater, New Jersey, the company advances cell therapy through innovative technologies.