Risk Modelling Data Scientist
Role details
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Tech stack
Job description
The roleWe are seeking a Computational Chemist to support and shape early-stage discovery programmes. This is a hands-on scientific role with genuine ownership, working directly with experimental scientists to guide molecular design and decision-making.You will apply computational chemistry and cheminformatics approaches to understand molecular interactions, prioritise designs, and support iterative optimization cycles.Key responsibilitiesApply molecular modelling and cheminformatics methods to support discovery and optimization projectsPerform structure-based and ligand-based modelling (e.G. docking, scoring, SAR analysis)Analyze and interpret molecular data to guide experimental strategyDevelop and maintain reproducible computational workflows and pipelinesWork closely with chemists, biologists, and data scientists in a highly collaborative environmentContribute to project reviews, scientific discussions, and platform developmentYour backgroundPhD or, MSc in Computational Chemistry, A leading travel experiences platform is seeking a Senior Machine Learning Scientist to enhance user experience through advanced AI techniques. The role involves representation learning, developing algorithms, and collaborating with various stakeholders. Ideal candidates...
Requirements
Chemistry, Chemical Biology, or a related fieldStrong foundation in molecular interactions, energetics, and structure-function relationshipsHands-on experience with tools, such as RDKit, OpenMM, GROMACS, Schrödinger, MOE, or similarProgramming experience in Python (additional scripting or data tools a plus)Comfortable working in a startup or small-team environment with evolving prioritiesAble to communicate computational insights clearly to experimental scientistsDesirable experienceExposure to drug discovery or molecular design programmesExperience integrating computational and experimental dataFamiliarity with machine learning or data-driven modelling approachesPrior experience in early-stage biotech, spin-outs, or interdisciplinary research teams