Principal Bioinformatician
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can have About the role section containing role overview and maybe company mission? But we should preserve all substantive information; we can include company description in About the role or maybe a separate section? Not listed. Probably include in About the role. We must not create sections with filler text. So we will include only those sections with content. Let's extract content: Company description: "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." 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 list: bullet points: - 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. - 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. Note duplicate "Ensure analysis reproducibility, traceability, and documentation compliance." appears twice; we keep once. 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." Skills/Experience: "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." Pay: "The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410 USD - $192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech." Work Authorization: "Applicants must be authorized to work in the United States. As part of our commitment to maintaining a lawful workforce and ensuring compliance with federal employment regulations, we participate in the E-Verify program. If you are selected for employment, you will be required to complete the Form I-9 process, and your employment eligibility will be verified through E-Verify in accordance with applicable federal law." We should remove Work Authorization? It's substantive but not in allowed headings; maybe we can include in About the role? Or we could drop as it's not a section heading; but instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." Work Authorization could be considered minor metadata; we could fold into a short p under About the role or maybe drop. Safer to include as a short paragraph under About the role. We must remove EEO statement, privacy notice, etc. Now construct HTML:
About the role
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. Applicants must be authorized to work in the United States. As part of our commitment to maintaining a lawful workforce and ensuring compliance with federal employment regulations, we participate in the E-Verify program. If you are selected for employment, you will be required to complete the Form I-9 process, and your employment eligibility will be verified through E-Verify in accordance with applicable federal law.
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.
- 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.
Skills
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.
Benefits
Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that