I'm looking for a Cheminformatics Scientist to join a cutting-edge Genetic Medicine team based in Bracknell, UK working at the intersection of AI/ML, chemistry, and nanoparticle delivery systems. This will be for an initial 12 month
This is a unique opportunity to apply advanced computational approaches to design and optimize lipid nanoparticles (tLNPs) a critical technology enabling next-generation therapeutics.
You’ll play a key role in exploring and expanding chemical space for novel lipid design, leveraging:
* Cheminformatics
* AI/ML modelling
* Molecular modelling insights
Your work will directly influence how targeted lipid nanoparticles are designed, prioritised, and brought into experimental validation.
What You’ll Do
* Develop and apply molecular representations for lipids used in nanoparticle systems
* Build workflows to analyze, classify, and extract features from lipid datasets
* Design and refine virtual lipid libraries using:
* Cheminformatics
* AI/ML methods
* Chemical intuition
* Create predictive models linking lipid structure to:
* Formulation behaviour
* In vivo performance
* Drive diversity selection and prioritisation strategies for synthesis
* Generate insights into lipid topology (head, linker, tail) and their functional roles
* Partner cross-functionally to ensure high-quality, consistent data generation
* Influence experimental design to improve model performance and data quality
What We’re Looking For
* PhD in Cheminformatics, Computational Chemistry, or related field
* Proven experience applying AI/ML in cheminformatics
Strong background in
* Data analytics
* Statistical modelling
* Molecular descriptors
* Advanced Python programming skills
* Experience building data visualisations and computational workflows
Nice to Have
* Experience with lipid nanoparticles (tLNPs) or drug delivery systems
* Understanding of:
* Lipid synthesis and purification challenges
* Particle formulation and readouts
* Knowledge of topological descriptors for lipid structures
* Experience at the interface of AI agents & cheminformatics
* Interest in combining physics-based modelling with ML approaches
For more information, apply or get in touch -