Legend Biotech Corporation

Principal Bioinformatician

Legend Biotech Corporation$146K — $192K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD (5+ years) or MS (8+ years) in relevant quantitative biological sciences.
  • Strong background in bioinformatics and statistics with biological training.
  • Experience in translational research, particularly in oncology or immunology.
  • Proficiency in R and/or Python programming in Linux/Unix environments.
  • Familiarity with workflow management systems and cloud platforms (AWS, GCP, Azure).

Responsibilities

  • Lead translational biomarker analysis using multi-omics assays.
  • Support biomarker discovery and validation, correlating data with clinical outcomes.
  • Build and maintain scalable bioinformatics pipelines using cloud or HPC environments.
  • Collaborate with cross-functional teams to translate computational findings into insights.
  • Contribute to regulatory documentation related to biomarkers and clinical studies.
  • Make decisions on methodologies, project execution, and resource allocation.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) retirement plan with immediate full vesting.
  • Eight weeks of paid parental leave after three months of employment.
  • Paid time off policy covering vacation, personal time, and sick leave.
  • Flexible spending and health savings accounts offered.
  • Short- and long-term disability coverage, and legal assistance.
  • Various voluntary benefits including pet insurance and critical illness coverage.
  • Well-being initiatives and peer-to-peer recognition programs.
Full Job Description
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


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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-$192,164 USD

Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.

About Legend Biotech Corporation

Legend Biotech Corporation is a clinical-stage biopharmaceutical company focused on developing innovative cell therapies for cancer. The company's lead product candidate, LCAR-B38M/JNJ-68284528, is a chimeric antigen receptor (CAR) T-cell therapy that is being developed for the treatment of multiple myeloma, a type of blood cancer. Legend Biotech was founded in 2014 as a subsidiary of GenScript Biotech Corporation and became an independent company in 2019. The company is headquartered in Shanghai, China and has operations in the United States and Europe.
Learn more about Legend Biotech Corporation
Size
1,071 employees
Market Cap
$8.2 billion
Industry
NASDAQ

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