Lead Scientist - Cell Expression
Lonza
Cambridge, United Kingdom
Lonza is looking for a Lead Scientist with expertise in cell expression technologies to join our team developing next-generation, industrially relevant cell expression platforms. Based in Cambridge, you will spend approximately 80% of your time in the lab, leading projects, mentoring junior scientists, and contributing to innovative mammalian expression systems that support the production of complex therapeutic proteins.
What you will do:
- Lead key projects in mammalian cell line development, while spending the majority of your time (~80%) performing hands-on lab work;
- Mentor and support junior scientists within the team, fostering skill development and knowledge sharing;
- Contribute to the delivery of new CHO-based mammalian expression hosts for complex therapeutic protein production;
- Engineer mammalian cell lines using random integration, targeted integration, and CRISPR-based gene editing;
- Generate mammalian expression vectors using state-of-the-art assembly techniques;
- Perform phenotypic characterisation of edited cell lines with assays such as NGS, ddPCR, qPCR, flow cytometry, and advanced cell culture techniques;
- Collate, analyse, evaluate, and sign off data to produce high-quality information and traceable records;
- Present results in written and oral reports to internal stakeholders;
- Collaborate closely with cross-functional teams including R&D Process Development and Protein Analytics to deliver expression solutions.
What we are looking for:
- PhD degree with relevant experience in an R&D setting;
- Practical R&D experience in academic or industrial settings;
- Strong technical background in molecular biology and mammalian cell culture for developing or manipulating expression systems;
- Experience in cell line engineering;
- Experience leading projects and mentoring junior scientists;
- Familiarity with implementing automation for cell line screening;
- Demonstrated contributions to technology development projects, with experience transferring new technologies to GMP manufacturing;
- Strong cross-functional collaboration skills and proactive problem-solving approach;
- Working knowledge of statistics and experimental design.
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