Exscientia is a full-stack drug discovery organisation with end-to-end capabilities from target identification to final clinical candidate nomination. We are not limited by type of project or the quantity of existing data - our ambition is to take on the most interesting drug discovery opportunities and address the most pressing needs. The integration of our automated technology platform into a highly-efficient design-make-test cycle lets us take full advantage of AI-driven cheminformatics algorithms to deliver clinical candidate molecules using a minimum number of design cycles and compounds.
We are currently seeking a highly-motivated computational chemist to join our Oxford office. You will be an integral member of a world-class team of engineers, researchers and drug hunters focused on applying AI to achieve unprecedented productivity gains in small molecule drug discovery.
In this role you will be responsible for applying Exscientia’s AI algorithms in multiple projects in tight collaboration with medicinal chemists. Additionally you will work with software engineers to integrate your creativity and experience into our AI system. From your educational background and work experience, you will know how medicinal chemists design new molecules and will be an expert to apply advanced features from our algorithms. Furthermore you will confidently present the AI algorithm results to customers.
There are no support roles at Exscientia. Computational scientists and medicinal chemists work hand in hand to deliver results. You will be an integral member of the team and actively driving projects, both internally and in collaboration with external partners. This role is therefore a unique opportunity for a computational chemist who wants to shape the future of drug design.
Work with drug designers to apply AI algorithms in drug discovery projects
Use our automatic structure-based design algorithms to design novel small molecules.
Interpret SAR and structure-based data and use computational methods to prioritise compounds for synthesis.
Key contact for technical discussions with external collaborators
Involvement in drug discovery projects with impact from your insights
Knowledge in medicinal chemistry to understand drug design and drug discovery project
Degree in chemistry, cheminformatics or a related field
Knowledge of cheminformatics toolkits (such as Pipeline Pilot, Knime, OpenEye or RDKit)
Excellent interpersonal, oral, and written communication skills: you will need to be able to communicate effectively with team members as well as external audiences having diverse professional backgrounds
Passionate about the idea of discovering novel therapeutics by application of technology.
Beneficial Skills and Experience
Proficient in Python
Experience in structure-based and fragment-based methods
Knowledge in ADME modelling
Experience with machine learning and major machine learning frameworks such as scikit-learn
Exscientia offers an intellectually stimulating and fast-paced working environment. Candidates will join an expanding, international team and will experience the excitement and sense of accomplishment presented by an innovative company changing an industry. We offer a competitive package commensurate with qualifications and experience.
Applicants must be able to demonstrate proof of the right to work in the United Kingdom.