Legend Biotech is seeking Data Analyst as part of the Technical Operations team based in Raritan, NJ.

Role Overview

The Data Management and Data Analysis position will be part of the Contract Manufacturing Organization (CMO) team supporting commercial manufacture of Carvykti at our external manufacturing partners. He/she is part of the joint external manufacturing team, working with our partner Johnson and Johnson (JNJ), to oversee the technical side of the CMO operation.

Key Responsibilities

• Collect, analyze critical process parameters (CPP) data, in-process testing data, and drug product release data to identify out-of-trend performance.
• Track and trend key performance metrics such as OOS rates/ termination rates/ batch success rate (KPI).
• Assist in investigation and root cause analysis by performing data trending and statistical analysis.
• Work with CMO and internal teams to work on continued process verification (CPV).
• Assess and implement new data analytic tools to drive continuous process improvements to enhance data accessibility.
• Improves, optimizes and Maintains ad hoc data request process to ensure accurate and efficient fulfillment of requests.
• Work closely with internal site team to compare the site performance using statistical software/ predictive modeling and identify opportunities to improve process and operation.
• Establish and maintain live dashboard and provides recurring reporting and update on the CMO performance to manager and cross functional stakeholder teams (internal and external).
• Assist in optimizing the data architecture for better scalability and usability.

Requirements

• Bachelor's degree with 2+ years ; MS degree with 0-1 year of relevant experience in data science, bioinformatics, engineering, statistics or equivalent technical discipline.
• Past experience in the pharmaceutical/ biotech industry, cell therapy manufacture experience is highly desirable.
• Ability to work as an individual contributor and team member is required.
• Experience in developing and deploying data analysis & reporting solutions.
• Experience with statistical analysis methods using software such as Python, R, JMP, Minitab, Tableau, Power BI or similar tool.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Knowledge of machine learning and predictive analytics.
• Relevant certifications in data technologies or methodologies.
• Excellent time-management and communication skills. 

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