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Associate principal scientist

Newtown (Powys)
Lonza, Inc.
Principal scientist
€75,000 a year
Posted: 13 April
Offer description

Join Lonza in Cambridge as an Associate Principal Scientist and play a leading role in developing next-generation CHO-based expression platforms that enable faster, more efficient production of complex biologics.


Benefits

* Compensation programs that recognize high performance.
* A variety of benefits dependent on role and location.


Responsibilities

* Lead technical projects focused on mammalian (CHO) cell expression systems, acting as a scientific authority within the team.
* Drive the development of next-generation CHO host platforms for complex therapeutic protein production.
* Engineer mammalian cell lines using advanced techniques including CRISPR-based editing, targeted and random integration.
* Design and generate mammalian expression vectors using state-of-the-art molecular biology and assembly technologies.
* Oversee phenotypic and molecular characterisation of engineered cell lines (e.g. NGS, ddPCR, qPCR, flow cytometry, advanced cell culture).
* Mentor and support junior scientists, fostering technical excellence and continuous development.
* Collaborate cross-functionally to ensure timely delivery of innovative expression solutions under rigorous scientific and GMP standards.


Qualifications

* Ph.D. or M.Sc. in a relevant life sciences discipline with significant R&D experience in academia and industry.
* Strong expertise in mammalian cell line engineering, ideally with CHO expression systems.
* Demonstrated experience leading complex scientific projects and mentoring or line managing scientists.
* Deep understanding of cell culture optimisation, transfection, stable pool generation, gene editing, and protein expression.
* Proven ability to deliver high-impact projects within defined timelines and quality standards.
* Strong communication skills, with the ability to operate autonomously and within multidisciplinary teams.
* Working knowledge of experimental design, statistics, and the IP landscape relevant to biologics platform development.
* Experience with directed evolution or automated screening technologies in mammalian cells is advantageous.
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