Principal Bioinformatician

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.

This role is to support translational strategies across pipeline development programs. He/She will lead computational analyses integrating multi‑modality clinical, and biomarker datasets to enable mechanism‑of‑action understanding, patient stratification, pharmacodynamic assessment, etc. to support translational decision‑making.

• Translational Biomarker Analysis with multi‑modality and multi‑omics assays such as Bulk and Single cell RNA‑seq, TCR/BCR‑seq, WGS/WES, Amplicon‑seq, ATAC‑seq, ctDNA/liquid biopsy, Proteomics and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF.
• Support translational biomarker discovery and validation including identification of pharmacodynamic (PD), predictive, prognostic, and response biomarkers; integrated analyses correlating biomarker data with:
  Clinical outcomes, PK/PD measurements, Safety for Patient stratification and Mechanism‑of‑action hypotheses.
• Build and maintain reproducible and scalable bioinformatics pipelines using cloud or high‑performance computing environments. Contribute to translational data infrastructure and data governance strategies. Ensure analysis reproducibility, traceability, and documentation compliance. Ensure analysis reproducibility, traceability, and documentation compliance.
• Partner closely with Translational scientists, Clinical Development, Research and CMC teams, CROs and collaborators to help translate complex computational findings into biologically meaningful insights.
• Contribute to regulatory documentation required biomarker sections of INDs, IBs, Clinical study reports and Regulatory briefing documents.
• He/she has the authority to make decisions related to methodologies and approaches development processes. He/she can make decisions related to project execution, including timelines, milestones and resource allocation within budget. Higher‑level approvals are required for those related to significant technical selection, budget allocations, strategic shifts, or major collaborations that have substantial scientific, financial or long‑term implications.

• PhD (5+ years) or MS (8+ years) in Bioinformatics, Computational Biology, Genomics, Systems Biology and related quantitative biological sciences.
• Strong expertise in bioinformatics, statistics with some biological training background, with experience in translational research in oncology, immunology or autoimmune disease. Gene and cell therapy involvement is a plus.
• Strong experience with: R and/or Python programming, Linux/Unix computing environments, Workflow management systems (e.g., Snakemake, Nextflow, WDL) with Cloud platforms (AWS, GCP, Azure) preferred.
• Advanced…