Scientist I at Legend Biotech US
Somerset, New Jersey, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Dec, 25

Salary

93463.0

Posted On

08 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Biotechnology, Powerpoint, Primary Cells, Bioengineering, Preparation, Data Analysis, T Cells, Control Software, Cell Counting, Cell Therapy, Molecular Biology, Immunology, Technical Documentation, Excel, Jmp, Flow Cytometry, Microsoft Office, Cell Culture

Industry

Information Technology/IT

Description

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 Scientist I as part of the Manufacturing Technology team based in Somerset, NJ.

REQUIREMENTS

  • Bachelor’s degree in biotechnology, Bioengineering, Molecular Biology, or related discipline
  • 2-4 years’ experience in cell culture (T-cells, immune cells, or primary cells) in an academic, process development, or GMP environment.
  • Hands-on experience with aseptic technique and biosafety cabinet work. Docusign Envelope ID: 851BEB25-A7BB-41CF-8F66-E2D150597E64
  • Exposure to closed-system or automated manufacturing platforms preferred (e.g., Prodigy, Rotea, Cue, Lovo).
  • Hands-on experience with analytical assays (flow cytometry, qPCR, ELISA) in a cell therapy, immunology, or bioprocess setting.
  • Experience in basic analytical methods such as cell counting, viability assays, and metabolite monitoring.
  • Familiarity with data analysis and preparation of technical documentation.
  • Proficiency with Microsoft Office (Excel, Word, PowerPoint).
  • Basic data analysis using Excel, JMP, or similar tools.
  • Ability to interface with instrument control software.

    Li-BZ1

Li-Hybrid

Responsibilities

ROLE OVERVIEW

We are seeking a motivated Scientist I to join our MSAT team, supporting the development, troubleshooting, and optimization of automated manufacturing processes for CAR-T and other cell therapy products. Under the guidance of senior staff, this role will perform bio-pilot run experiments, technology evaluations, and process improvement studies. The position will directly contribute to manufacturing robustness and efficiency by executing laboratory work, assisting in equipment testing, and analyzing process data.

KEY RESPONSIBILITIES

  • Execute bench-scale experiments for bio-pilot run comparisons, technology evaluations, and process improvement initiatives.
  • Operate and assist in troubleshooting closed-system and automated platforms (e.g., Prodigy, Rotea, Cue, Lovo, G-Rex).
  • Perform and interpret analytical assays, including flow cytometry, qPCR, ELISA, and other cell-based methods, to support process evaluation and comparability.
  • Collect, analyze, and summarize experimental data (cell growth, viability, metabolite trends) using statistical tools.
  • Support preparation of study protocols, technical reports, and SOPs in compliance with GMP standards.
  • Assist in process troubleshooting and root-cause investigations for manufacturing and automation systems.
  • Maintain a safe, organized, and compliant laboratory workspace.
  • Make independent decisions regarding routine laboratory execution, minor troubleshooting, and data analysis within approved study protocols. Guidance is sought from senior team members for experimental design, major troubleshooting steps, and changes to validated processes.
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