Head of Biologics Platform

Location: UK (Hybrid, 2 days in London)  
Type: Full-time, permanent 

This AI-first biotech is building a production-grade drug design platform to accelerate discovery across both small molecules and biologics. Backed by solid funding and already generating revenue, they’ve assembled a multidisciplinary technical team combining AI researchers, domain scientists, and software engineers. With a runway secured through 2028, the focus now is on expanding internal platform leadership to support the next phase of growth and prepare for a Series A. 

The Role 

We’re hiring a senior-level Immunoinformatics expert to lead development of our biologics platform – focused primarily on antibody design, optimisation, and modelling. This is a hands-on technical leadership role, combining deep antibody domain knowledge with practical experience in computational methods, AI, or physics-based simulation. 

You’ll be responsible for shaping the scientific and technical direction of the platform, working closely with a multidisciplinary team of AI researchers, protein engineers, and software engineers. You’ll play a central role in aligning biology with technology, ensuring delivery of high-impact tools and models that meet the needs of partners. 

This is a key hire ahead of our next funding milestone, with scope to expand the team and shape platform direction long term. 

What You’ll Do 

• Lead scientific and technical development of the company’s biologics design platform 
• Translate antibody-specific requirements into computational tools, models, and workflows 
• Collaborate cross-functionally with AI, software engineering, and drug design teams 
• Serve as internal subject matter expert on antibodies, immune repertoire modelling, and biologics R&D 
• Act as technical interface with strategic partners and scientific advisors 
• Stay ahead of emerging research in AI for biologics and guide internal adoption 
• Contribute to long-term team and platform growth as the company scales 

What We’re Looking For 

Required 

• Deep understanding of antibody structure and function (e.g. paratope/epitope mapping, affinity maturation, developability) 
• PhD or equivalent experience in Computational Biology, Structural Bioinformatics, Biophysics, or related field 
• Hands-on experience applying AI, machine learning, or physics-based methods to biologics modelling or design 
• Strong software fluency (e.g. Python, structural biology toolkits, ML frameworks) 
• Proven ability to work cross-functionally and lead scientific/technical projects 
• Excellent communication skills across technical and non-technical audiences 

Preferred 

• Experience with antibody-specific pipelines (e.g. repertoire analysis, RosettaAntibody, MODELLER, PyRosetta) 
• Familiarity with ML methods for structure prediction, property prediction, or generative modelling 
• Prior experience in an AI biotech or platform-based drug discovery environment 
• Comfortable navigating between research, engineering, and external stakeholder work 

Why Join? 

• Collaborate with a high-calibre, cross-disciplinary team at the forefront of AI-driven drug design 
• Take a core leadership role in shaping the biologics strategy and platform 
• Work directly with domain leaders and real-world partners 
• Join a well-funded company with revenue, stability, and a clear roadmap to Series A

Reach out for questions about this and other BioAI positions, or apply now for consideration.