Legend Biotech Corporation

Sr. Manager, Biostatistician / Programmer

Legend Biotech Corporation$120K — $150K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related field required.
  • Hands-on experience developing TFLs for clinical trials is essential.
  • Strong understanding of clinical trial design and clinical data structures needed.
  • Independence and ability to manage ambiguity are crucial.
  • Prefer candidates with experience in oncology or cell therapy programs.
  • Advanced SAS programming proficiency required for analysis and reporting.
  • Familiarity with clinical data standards such as SDTM and ADaM is necessary.

Responsibilities

  • Develop and maintain high-quality Tables, Figures, and Listings (TFLs) for clinical trials.
  • Perform statistical programming and data manipulation for analyses.
  • Explore clinical trial data to identify insights and trends.
  • Collaborate closely with various teams to align analyses with study objectives.
  • Translate data into scientifically meaningful insights based on therapeutic knowledge.
  • Contribute to programming documentation and quality control activities.
  • Support initiatives to enhance programming efficiency and standardization.

Benefits

  • Health, dental, and vision insurance options available.
  • 401(k) plan with company match offered.
  • Paid time off including vacation and sick days.
  • Opportunities for professional development and continuing education.
  • Flexible work arrangements including hybrid options.
Full Job Description
Role Overview

The 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 Responsibilities
  • Develop, 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.


Requirements
  • Master'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 visualization
  • Strong 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).


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Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.

About Legend Biotech Corporation

Legend Biotech Corporation is a clinical-stage biopharmaceutical company focused on developing innovative cell therapies for cancer. The company's lead product candidate, LCAR-B38M/JNJ-68284528, is a chimeric antigen receptor (CAR) T-cell therapy that is being developed for the treatment of multiple myeloma, a type of blood cancer. Legend Biotech was founded in 2014 as a subsidiary of GenScript Biotech Corporation and became an independent company in 2019. The company is headquartered in Shanghai, China and has operations in the United States and Europe.
Learn more about Legend Biotech Corporation
Size
1,071 employees
Market Cap
$8.2 billion
Industry
NASDAQ

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