Biotech Data Analytics Intern - BI, SQL & Cloud

BioSpace; Bridgewater Township (NJ); Vor Ort; USD 25.000 - 41.000; Vollzeit

Zusammenfassung

Legend Biotech, a global biotechnology company, is seeking a Data Intern to join the Information Technology team in Bridgewater, NJ. You will assist in collecting, cleaning, and analyzing structured and unstructured data, and help build analytics-ready datasets for business decision-making.

You will gain hands-on experience with enterprise data, BI tools like Power BI, cloud data platforms (Snowflake/Azure), and data governance in a regulated life sciences environment.

Qualifikationen

• Currently pursuing a Bachelor's or Master's degree in the listed fields.
• 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 stakeholders.

Aufgaben

• Assist with collecting, cleaning, transforming, and analyzing data from multiple systems.
• Perform exploratory data analysis to identify trends and data quality issues.
• Develop dashboards and visualizations using Power BI.
• Write SQL queries to retrieve and validate data from databases and cloud platforms.
• Support data engineering activities including ingestion, transformation, and reconciliation.
• Prepare analytics-ready datasets and support data models.

Kenntnisse

SQL

Python

Power BI

Data analysis

Data visualization

Attention to data quality

Ausbildung

Data Science

Computer Science

Information Systems

Statistics

Mathematics

Engineering

Bioinformatics

Business Analytics

Tools

Snowflake

Microsoft Azure

Microsoft Fabric

Jobbeschreibung

Legend Biotech, a global biotechnology company, is seeking a Data Intern to join the Information Technology team in Bridgewater, NJ. You will assist in collecting, cleaning, and analyzing structured and unstructured data, and help build analytics-ready datasets for business decision-making.

You will gain hands-on experience with enterprise data, BI tools like Power BI, cloud data platforms (Snowflake/Azure), and data governance in a regulated life sciences environment.