Principal Bioinformatician
$146.41k - $192.16kLegend Biotech USA, Inc.
Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. 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.
- 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
Vacancy posted 29 days ago
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