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
Salary description
£43000.00 - £60000.00 per year