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Sr. Manager, Clinical Trial Operations Planning & Analytics

Location
Somerset, New Jersey, United States
Posted
Aug 5, 2026
Last seen
Aug 7, 2026

About the role

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 Sr. Manager, Clinical Trial Operations Planning & Analytics as part of the Clinical Operations team based in Somerset , NJ .

Role Overview

The Sr. Manager, Clinical Trial Operations Planning & Analytics is responsible for the strategic planning and analytics capability to support current and future Legend pipeline studies. This role will establish scalable approaches for feasibility, site identification, study startup planning, forecasting, and trial performance analytics to improve predictability and enable earlier operational intervention. The position partners closely with Clinical Operations leadership and cross-functional stakeholders to determine and assess assumptions, refine strategy, and translate data into actionable operational decisions across the study lifecycle.

Key Responsibilities

  • Lead development of standardized frameworks, tools, and processes for feasibility, site identification, enrollment forecasting, study startup planning, and predictive trial performance modeling across pipeline studies.
  • Develop data-driven approaches to identify the right countries and sites globally to support activation and enrollment acceleration and to predict key operational outcomes such as startup timing, enrollment, and study completion.
  • Build scenario models and planning outputs to support base and best case operational strategies and contingency planning.
  • Establish contingency planning triggers, risk indicators, and escalation thresholds based on modeled performance risk.
  • Partner with study teams, CROs, and cross-functional stakeholders to pressure-test trial assumptions and refine country and site strategies.
  • Create and maintain dashboards and analytics to monitor startup, activation, enrollment, and delivery risk trends.
  • Translate study and portfolio performance data into actionable insights and executive-ready recommendations for senior leadership.
  • Support continuous refresh of assumptions as study conditions, portfolio priorities, and external dynamics evolve.
  • Capture lessons learned and convert them into reusable planning tools, templates, and methodologies that improve cross-study consistency.
  • Represent the function in internal planning discussions and external partner interactions related to feasibility, forecasting, and performance analytics.
  • Performs other duties as required.
  • Works closely with the Sr. Director and VP of Clinical Operations. Clinical Operations Capabilities & Scalability and collaborates with Clinical Operations study teams, Clinical Development, IT, ITQA Biostatistics, Regulatory, Project Management, Procurement, Finance, QA, and CRO/vendor.

Requirements

  • Minimum degree requirements of a bachelor’s degree (BA, BS) in scientific, health care, data, or related discipline. Advanced degree preferred.
  • 7+ years of pharmaceutical, biotech, CRO, or related clinical research experience; 10+ years preferred. <li style="fon