[Based In China] Genome Editing Scientist (Multiple Levels)

Legend Biotech is seeking Genome Editing Scientist (Multiple Levels) as part of the R&D teamBased inNanjing, China. 

Key Responsibilities

• Lead, design, and execute experiments aimed at developing next-generation Genome Editing strategies using CRISPR-based tools and beyond
• Design and produce DNA, RNA, and virus-based reagents for Genome Editing experiments in human cells.
• Apply various Genome Editing tools at different stages of CAR-T discovery and development.
• Develop and execute in-house NGS workflows, including the following: NGS library preparation and quantification.
• Lead from the lab to advance novel and differentiated cell therapy products toward clinical milestones, by working collaboratively with internal cross-functional teams and external partners.
• Contribute creatively to seed innovation projects through literature review and shape execution tactics.
• Recommends changes to project direction based on an understanding of current literature and in-house experimental data.
• Accurately capture data in a timely manner, ensuring data integrity and protocol compliance.

• PhD in molecular biology, biochemistry, synthetic biology or a related field with 2+ years of experience in industry
• Extensive experience in the development and implementation of advanced genetic tools - such as Genome Editing, CRISPR systems, transposons and DNA assembly - with particular emphasis on the challenges associated with applying these tools in mammalian cells.
• Proficiency in standard molecular techniques, e.g., cloning strategies, PCR, library preparation for next generation sequencing, RNA handling, qPCR, etc.
• Experience with NGS library prep, characterization and optimization of CRISPR systems or other technologies.
• Good coordination and communication skills are required. Highly organized and efficient, able to work independently.
• Strong problem-solving skill is preferred. Ability to coordinate parallel tasks across multiple projects, demonstrating prioritization.

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