ScientistSr. Scientist, Bioinformatics Data

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 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 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.