Data Intern

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 datato enable business decision-making. The intern will gain hands-on experience with enterprise data businessintelligence tools cloud data platforms data quality and documentation within a regulated life sciencesenvironment.

Working with IT business and data teams the intern will contribute to reports dashboards data processesanalytics automation and AI-enabled initiatives. This opportunity is well suited for a student interested in gainingpractical 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.

The Data Intern works under the guidance of the Data & Analytics team and may independently perform assignedanalysis prepare reports document findings and identify data quality issues. The role may recommend processimprovements and highlight risks or issues but does not have authority to make architectural compliancefinancial or strategic decisions without management approval.

Requirements

• Currently pursuing a Bachelors or Masters 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

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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.