About this job

This is an excellent opportunity for a delivery-focused scientist who enjoys generating high-quality experimental data and wants to contribute to the future of AI/ML-driven antibody engineering and digital drug discovery.

You’ll work within a collaborative, multidisciplinary team of wet-lab and computational scientists, helping to generate critical biophysical datasets that support the development of next-generation antibody optimisation technologies.

Key responsibilities:

• Generate and analyse biophysical data for antibody panels

• Assess molecule quality and purity prior to characterisation

• Evaluate properties including affinity, thermal stability, self-interaction and non-specific binding

• Collaborate closely with computational scientists to support AI/ML model development

• Present and communicate data across scientific teams

• Support development of new antibody characterisation methodologies

Ideal background:

• PhD or equivalent industry experience in antibody/protein biophysical characterisation

• Hands-on experience with techniques assessing affinity, stability and developability e.g. SPR, BLi, DSC, DSF, DLS, mass photometry etc.

• Strong organisational and communication skills

• Ability to work effectively in cross-functional teams

• Interest in computational antibody engineering or AI-guided optimisation would be advantageous

• Experience with structural visualisation tools such as PyMOL would be beneficial

This role is offered on an initial 12 month contract.

VRS9441SE