Senior / Principal Scientist, Antibody Engineering & Rational Design

Connect therapeutic-antibody discovery with computational design. The scientist develops and validates rational antibody designs, structures experimental data to improve models, and collaborates with wet-lab and machine-learning teams on humanisation, affinity, specificity and developability.

Relevant PhD; at least five years of post-PhD antibody/protein engineering experience for Senior Scientist or eight for Principal Scientist. Requires Python, modern protein-design tools and onsite work five days per week.