Cheminformatics Researcher Role:
We're looking for a cheminformatics scientist to join a Genetic Medicine team. You'll use computer-based chemistry methods and AI/machine learning to help explore and design lipid molecules used in targeted lipid nanoparticles (a type of drug-delivery particle). You'll help build and improve a library of lipid designs, combining data analysis, scientific know-how, and computer modelling.
- Help figure out the best ways to represent lipid molecules digitally, and build tools to analyse and sort lipid structures from internal and public data.
- Design new lipid structures using available chemical building blocks, looking for patterns that affect how well they work.
- Help build and improve a virtual library of lipid designs, using data analysis, AI/ML tools, and chemical know-how.
- Build and test models that predict how a lipid's structure affects its real-world performance.
- Create processes to select and prioritise which lipids should be made, balancing variety with practical limits like lab capacity.
- Keep data analysis consistent and high quality, and work closely with other scientists across the team.
Your Background:
- A PhD in Cheminformatics, Computational Chemistry, or a related field; relevant work or research experience is a plus.
- Experience using cheminformatics methods to design chemical libraries and analyse structure-activity relationships.
- Solid experience with data analysis and AI/machine learning, plus a good understanding of basic statistics; experience with small molecules or lipids is a bonus.
- Strong programming skills, especially in Python, and experience creating data visualisations.
- Some understanding of lipid nanoparticle formulation is helpful, but not essential.
- Comfortable learning new cheminformatics tools and software as needed.