Data Intern

BioSpace; Bridgewater Township (NJ); Presencial; USD 25.000 - 41.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Power BI

Data analysis

Data visualization

Attention to data quality

Educación

Data Science

Computer Science

Information Systems

Statistics

Mathematics

Engineering

Bioinformatics

Business Analytics

Herramientas

Snowflake

Microsoft Azure

Microsoft Fabric

Descripción del empleo

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life‑threatening diseases. Headquartered in Bridgewater, New Jersey, we are advancing the next generation of cell therapy through a portfolio of innovative technologies, including autologous, allogeneic, and in vivo cell therapy approaches. Our research spans chimeric antigen receptor T-cell (CAR-T), T-cell receptor (TCR-T), natural killer (NK) cell‑based therapies, and other emerging platforms designed to transform the treatment of serious diseases. From our global network of research and development sites, we are committed to discovering and developing safe, effective, and cutting‑edge therapies for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Johnson & Johnson to jointly develop and commercialize CARVYKTI® (ciltacabtagene autoleucel; cilta-cel). Through this strategic partnership, we combine complementary expertise and capabilities to advance innovative immunotherapies for patients living with multiple myeloma.

Legend Biotech is seeking a Data Intern as part of the Information Technology team based in Bridgewater, NJ.

Role Overview

The Data Intern will support the Data & Analytics team in collecting, organizing, analyzing, and visualizing data to enable business decision‑making. The intern will gain hands‑on experience with enterprise data, business intelligence tools, cloud data platforms, data quality, and documentation within a regulated life sciences environment.

Working with IT, business, and data teams, the intern will contribute to reports, dashboards, data processes, analytics, automation, and AI‑enabled initiatives. This opportunity is well suited for a student interested in gaining practical experience in data analytics, data engineering, and business intelligence.

Key Responsibilities

• 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.
• Assist with analytics, automation, and AI‑enabled solutions where appropriate.
• Participate in testing and validation of reports, dashboards, datasets, and data pipelines.
• Prepare technical documentation, presentations, and analytical summaries.
• Follow organizational requirements for data privacy, cybersecurity, data governance, and the appropriate handling of confidential information.
• Perform other data and analytics‑related activities as assigned.

Requirements

Currently pursuing a Bachelor's or Master's degree in:

• Data Science
• Computer Science
• Information Systems
• Statistics
• Mathematics
• Engineering
• Bioinformatics
• 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. Familiarity with a data visualization tool such as Power BI, Tableau, or a similar platform is preferred. Exposure to cloud data platforms or data engineering technologies is a plus. Coursework or project experience involving machine learning, generative AI, or large language models is a plus. Familiarity with data governance, data privacy, or regulated environments is a plus. Interest in biotechnology, pharmaceuticals, healthcare, or life sciences is preferred. Please note: These benefits are offered exclusively to permanent full‑time employees. Contractors are not eligible for benefits through Legend Biotech. Work Authorization & Employment Eligibility Applicants must be authorized to work in the United States. As part of our commitment to maintaining a lawful workforce and ensuring compliance with federal employment regulations, we participate in the E‑Verify program. If you are selected for employment, you will be required to complete the Form I‑9 process, and your employment eligibility will be verified through E‑Verify in accordance with applicable federal law. We are committed to providing a fair, transparent, and welcoming hiring experience for all candidates. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at‑will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.