Proclinical Staffing
Cheminformatics Researcher
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Cheminformatics Researcher
Contract: 12 months
Are you passionate about applying computational science, AI and cheminformatics to advance the future of medicine? We are seeking a talented Cheminformatics Researcher to support a pioneering Genetic Medicine team focused on the discovery and optimisation of novel lipid nanoparticles used in advanced therapeutic delivery systems.
The Opportunity
Working within a highly collaborative research environment, you will contribute to the development of innovative lipid libraries through cheminformatics, machine learning and molecular modelling approaches. You will help drive chemical space exploration, predictive modelling and data-driven decision making, supporting the discovery of next-generation therapeutics.
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Key Responsibilities
- Design and optimise molecular representations for lipid-based compounds.
- Analyse internal and external chemical datasets.
- Develop workflows for lipid classification and feature extraction.
- Build and refine virtual lipid libraries.
- Create predictive AI/ML models linking molecular structure to biological outcomes.
- Support compound prioritisation and diversity selection strategies.
- Collaborate across computational chemistry, formulation and experimental teams.
- Maintain high-quality scientific data standards and curation practices.
Requirements
- PhD in Cheminformatics, Computational Chemistry or related discipline.
- Strong experience in cheminformatics and molecular design.
- Hands-on experience with machine learning and predictive modelling.
- Advanced Python programming skills.
- Experience working with chemical datasets and data visualisation.
- Knowledge of lipid chemistry, lipid nanoparticles or drug discovery is advantageous.
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Desirable Experience
- RDKit or related cheminformatics platforms.
- Lipid nanoparticle technologies.
- Computational chemistry and molecular modelling.
- Small molecule or lipid synthesis awareness.
- AI-driven discovery platforms.
What's on Offer?
- Opportunity to work on cutting-edge genetic medicine programmes.
- Collaborative, innovative scientific environment.
- Exposure to advanced AI and computational drug discovery technologies.
- Career growth within a world-leading pharmaceutical organisation.
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