Cheminformatics Researcher Role
Develop and optimise molecular representations for lipids involved in targeted lipid nanoparticles (tLNPs).
Analyse lipid structures using cheminformatics workflows, AI/ML methods, and public/internal datasets.
Generate and refine virtual lipid libraries using chemical intuition, molecular modelling, and reaction‑based enumeration strategies.
Build and validate predictive models linking lipid structure descriptors to formulation and in‑vivo outcomes.
Design workflows for diversity selection and prioritisation of lipids for synthesis and chemical space exploration.
Your Background
PhD in Cheminformatics, Computational Chemistry, or a related scientific discipline with relevant industry or research experience.
Strong experience applying cheminformatics and AI/ML techniques to lipid analysis and molecular design.
Proven scientific programming capability, particularly with Python.
Understanding of lipid nanoparticle formulation, synthesis, purification challenges, and structure-property relationships would be advantageous.
Experience with chemoinformatics toolkits, molecular descriptors, and AI-enabled computational chemistry approaches.
Company
Our client is one of the largest pharmaceutical companies in the world, focusing on finding answers for some of the world's most urgent medical needs.
Location
This role is based at our client's site in Bracknell.
Apply
For more information, or to apply for this Cheminformatics Researcher role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (phone number removed). It is essential that applicants hold entitlement to work in the UK. Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
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