Description
I’m working with a BioAI Startup that’s building a next-generation drug design platform spanning small molecules and antibodies.
They’re well-funded, have an extremely credible founding team, already generating revenue, and entering a critical growth phase as they scale their platform and client impact.
We're looking for senior leaders (lead to VP level). You’d be responsible for shaping the computational strategy for either antibody or small molecule design, and leading/working with a cross-functional team of AI researchers, domain specialists, and software engineers.
What You’ll Do
- Lead scientific and technical development of the company’s biologics/Small molecule 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
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
London-based (2-3 days per week in the office)
Salary up to £130k DOE + equity (higher for VP level)
If this sounds like you or someone you know who’s operating at this level, get in touch!
