[Hiring] Principal Bioinformatician @Legend Biotech US

Role Description

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

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) biomarkers
  • Predictive biomarkers
  • Prognostic biomarkers
  • Response biomarkers
• 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.
• 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.
• Make decisions related to methodologies and approaches development processes.
• Make decisions related to project execution, including timelines, milestones and resource allocation within budget.

Qualifications

• 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

Requirements

• Experience in translational research in oncology, immunology or autoimmune disease.
• Strong programming skills in R and/or Python.
• Familiarity with Linux/Unix computing environments.
• Experience with workflow management systems and cloud platforms.

Benefits

• Medical, dental, and vision insurance.
• 401(k) retirement plan with a company match that vests fully on day one.
• Eight (8) weeks of paid parental leave after just three (3) months of employment.
• Paid time off policy including vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays.
• Additional voluntary benefits including flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans.
• Voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs.