Biostatistician

Sr. Manager, Biostatistician/ProgrammerLegend 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 Sr. Manager, Biostatistician/Programmer as part of the Clinical team based in Somerset, NJ.Role OverviewThe Sr. Manager, Biostatistician/Programmer plays a critical hands-on role in supporting Legend Biotech's clinical development programs by transforming clinical trial data into high-quality analyses, tables, figures, and listings that inform decision-making. This role partners closely with clinical, translational, research stakeholders to deliver timely insights, conduct exploratory and ad hoc analyses, and deeply understand the medical and scientific questions underlying the data. The position requires strong programming expertise, data agility, intellectual curiosity, and the ability to work independently in a fast-moving biotech environment.Key ResponsibilitiesDevelop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support ongoing clinical trials, interim analyses, and internal/external deliverables in compliance with study requirements and standards.Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses, addressing evolving clinical and scientific questions.Independently explore and interrogate clinical trial data to identify trends, anomalies, and insights that support clinical interpretation and decision-making.Collaborate closely with Biostatistics, Clinical Development, Clinical Operations, Data Management, Translational research and Medical teams to ensure alignment of analyses with protocol objectives and clinical intent.Apply a strong understanding of therapeutic area, disease biology, and clinical endpoints to translate data into meaningful scientific insights.Contribute to analysis datasets, program specifications, programming documentation, and quality control activities in accordance with internal standards and regulatory expectations.Support process improvement initiatives, including enhancing programming efficiency, standardization, and reproducibility across studies and programs.This role operates with a high degree of autonomy in determining programming approaches, exploratory analyses, and data interrogation strategies to answer clinical questions. The Sr. Manager may independently make decisions related to analysis methods, programming solutions, prioritization of tasks, and investigative follow-up of data issues. Escalation and alignment are expected for changes impacting study-level strategy, major deliverables, timelines with external visibility, or regulatory-facing outputs.RequirementsMaster's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.Demonstrated hands-on experience developing TFLs and performing ad hoc and exploratory analyses for clinical trials.Strong understanding of clinical trial design, clinical data structures, and the medical context behind analyses.Proven ability to work independently, manage ambiguity, and drive self-directed discovery from data.Experience supporting oncology and/or cell therapy programs is strongly preferred.Advanced proficiency in SAS for clinical trial analysis and reporting.Working knowledge of R for exploratory analyses and data visualizationStrong experience with clinical data standards (e.g., SDTM, ADaM)Experience with or strong willingness to leverage AI-assisted programming tools to accelerate development, enhance code quality, and support efficient generation of Tables, Figures, and Listings (TFLs).