Principal Bioinformatician

Legend Biotech is seeking a Principal Bioinformatician as part of the Early Drug Development team based in Somerset, NJ or Remotely.

Role Overview

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.

Key Responsibilities

• 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.

Requirements

• 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 training and strong understanding of biological science, enabling the translation of complex disease and therapy questions into data-driven solutions.

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