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 Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.
Role Overview
We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.
Key Responsibilities
- Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
- Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
- Perform quality control, normalization, and batch-correction across heterogeneous datasets.
- Design, optimize, and maintain robust, scalable bioinformatics pipelines.
- Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
- Procure and integrate existing biological databases with internal datasets.
- Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
- Collaborate with IT and other functional groups.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
- Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
- Ability to turn raw biological data into structured insights.
- Strong experience with AI application in data science.
- Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
- Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
- A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
- Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
- Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
- Creative, innovative and excellent communication and presentation skills.
- This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.
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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.
Work Authorization & Employment Eligibility
Applicants must be authorized to work in the United States. As part of our commitment to maintaining a lawful workforce and ensuring compliance with federal employment regulations, we participate in the E-Verify program. If you are selected for employment, you will be required to complete the Form I-9 process, and your employment eligibility will be verified through E-Verify in accordance with applicable federal law. We are committed to providing a fair, transparent, and welcoming hiring experience for all candidates.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
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