Principal Bioinformatician
Legend Biotech
August 19, 2026
Remote friendly (Somerset, NJ)
United States
Clinical Research and Development
Principal Bioinformatician — Early Drug Development (Somerset, NJ or Remote)
Role Overview
Support translational strategies across pipeline development programs by leading computational analyses integrating multi-modality clinical and biomarker datasets to enable mechanism-of-action understanding, patient stratification, and pharmacodynamic assessment.
Responsibilities
- Perform translational biomarker analysis using multi-modality, multi-omics assays (bulk/single-cell RNA-seq, TCR/BCR-seq, WGS/WES, amplicon-seq, ATAC-seq, ctDNA/liquid biopsy, proteomics/cytokines, spatial/multiplex imaging, flow cytometry/CyTOF).
- Support biomarker discovery/validation (PD, predictive, prognostic, response) and integrated analyses linking biomarkers to clinical outcomes, PK/PD, safety, and MoA hypotheses.
- Build and maintain reproducible, scalable bioinformatics pipelines (cloud/HPC), with data governance, reproducibility, traceability, and documentation compliance.
- Partner with Translational, Clinical Development, Research, CMC teams, CROs, and collaborators.
- Contribute to regulatory biomarker sections for INDs, IBs, clinical study reports, and regulatory briefing documents.
Requirements
- PhD (5+ years) or MS (8+ years) in Bioinformatics/Computational Biology/Genomics/Systems Biology or related quantitative sciences.
- Strong bioinformatics/statistics expertise for translational research in oncology, immunology, or autoimmune disease (gene/cell therapy experience a plus).
- Proficiency in R and/or Python, Linux/Unix, workflow tools (Snakemake/Nextflow/WDL), and cloud platforms (AWS/GCP/Azure preferred).
Benefits (highlights)
Medical/dental/vision, 401(k) with company match (fully vested day one), 8 weeks paid parental leave after 3 months, paid time off, 11 company holidays.
Role Overview
Support translational strategies across pipeline development programs by leading computational analyses integrating multi-modality clinical and biomarker datasets to enable mechanism-of-action understanding, patient stratification, and pharmacodynamic assessment.
Responsibilities
- Perform translational biomarker analysis using multi-modality, multi-omics assays (bulk/single-cell RNA-seq, TCR/BCR-seq, WGS/WES, amplicon-seq, ATAC-seq, ctDNA/liquid biopsy, proteomics/cytokines, spatial/multiplex imaging, flow cytometry/CyTOF).
- Support biomarker discovery/validation (PD, predictive, prognostic, response) and integrated analyses linking biomarkers to clinical outcomes, PK/PD, safety, and MoA hypotheses.
- Build and maintain reproducible, scalable bioinformatics pipelines (cloud/HPC), with data governance, reproducibility, traceability, and documentation compliance.
- Partner with Translational, Clinical Development, Research, CMC teams, CROs, and collaborators.
- Contribute to regulatory biomarker sections for INDs, IBs, clinical study reports, and regulatory briefing documents.
Requirements
- PhD (5+ years) or MS (8+ years) in Bioinformatics/Computational Biology/Genomics/Systems Biology or related quantitative sciences.
- Strong bioinformatics/statistics expertise for translational research in oncology, immunology, or autoimmune disease (gene/cell therapy experience a plus).
- Proficiency in R and/or Python, Linux/Unix, workflow tools (Snakemake/Nextflow/WDL), and cloud platforms (AWS/GCP/Azure preferred).
Benefits (highlights)
Medical/dental/vision, 401(k) with company match (fully vested day one), 8 weeks paid parental leave after 3 months, paid time off, 11 company holidays.