Im 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
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:
o Cheminformatics
o AI/ML methods
o Chemical intuition
o Formulation behaviour
* 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
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
* 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:
o Lipid synthesis and purification challenges
o Particle formulation and readouts
o Knowledge of topological descriptors for lipid structures
o Experience at the interface of AI agents & cheminformatics
o Interest in combining physics-based modelling with ML approaches
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