Process Data Analyst

Confirmed live in the last 24 hours

Legend Biotech

Compensation

$75,972 - $99,713/year

Raritan, New Jersey, United States

On-site

Posted April 2, 2026

Job Description

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

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.