Role overview Our Client are world leaders in antibody drug discovery and development. This is a unique opportunity to join the Antibody Discovery team working with cutting edge technologies to help shape delivery of next generation antibody therapeutics. This is an excellent opportunity to join a dynamic and thriving team of scientists helping to develop and validate new sequence-based and structure-based antibody design approaches. This includes elements of antibody hit identification, sequence optimisation and in silico de novo antibody design. This is a laboratory-based role where a detailed knowledge of molecular biology and microbiological methods, and a proven track record of antibody discovery or protein engineering would be a significant advantage. Responsibilities • Play a key role in the discovery of therapeutic monoclonal antibodies to support pipeline and help create value for patients suffering with serious disease. • Using cutting-edge yeast display for the discovery and optimisation of human antibodies aligned with therapeutic targets. • Design, construct, and perform selections using bespoke synthetic display libraries to support in silico de novo antibody discovery and optimisation projects. • The preparation of next generation sequencing (NGS) libraries and their analyses to support antibody discovery and engineering of lead molecules. • Working closely with computational and CADD scientists, co-develop and apply AI/Deep learning solutions and structure-based approaches to facilitate discovery and engineering of high-quality antibody molecules. • Contribute to the development and implementation of new methodologies in antibody display and engineering. • Work flexibly across project teams to ensure delivery of results against expected timelines. • Present experimental data at cross-functional meetings. Requirements Profile • A PhD (or equivalent) with molecular biology and protein biochemistry knowledge ideally within the antibody space. • Knowledge and experience in the use of in vitro display libraries for either discovery, affinity maturation, or other protein engineering, preferably to include structure or deep sequence-guided insight would be desirable. • Demonstrable experience of biochemical techniques for the characterisation of macromolecules such as flow-cytometry, surface plasmon resonance or Bio-layer interferometry would be beneficial. • Skills in informatic and other computational platforms such as molecular visualisation and next generation sequencing data analysis would be advantageous. • Highly motivated with excellent attention to detail and critical data analysis skills. • A trusted ability to deliver to deadlines. • Excellent communication skills.