legendcareers · Bridgewater, New Jersey, United States · Bridgewater, New Jersey, United States
<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">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.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 10pt;">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.</span></p></div><p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Legend Biotech is seeking a <strong>Data Intern</strong> as part of the <strong>Information Technology </strong>team based in <strong>Bridgewater, NJ.</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Role Overview</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">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.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">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.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Key Responsibilities</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Assist with collecting, cleaning, transforming, and analyzing structured and unstructured data from multiple business systems.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Perform exploratory data analysis to identify trends, patterns, anomalies, and potential data quality issues.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Develop and enhance dashboards, reports, and visualizations using tools such as Microsoft Power BI.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Write SQL queries to retrieve, analyze, and validate data from databases and cloud data platforms.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Support data engineering activities, including data ingestion, transformation, validation, and reconciliation.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Assist with preparing analytics-ready datasets and support the development of data and semantic models.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Support enterprise data platform initiatives using technologies such as Snowflake, Microsoft Azure, Microsoft Fabric, or similar cloud platforms.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Assist with documenting data sources, transformations, lineage, metadata, and business rules.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Perform data quality checks and support the resolution of data inconsistencies.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Support discussi