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    About Exscientia

    Exscientia is an AI-driven pharmatech company committed to discovering, designing and developing the best possible drugs in the fastest and most effective manner. Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progress AI-designed small molecules into the clinical setting. Our pipeline demonstrates our ability to rapidly translate scientific concepts into precision-designed therapeutic candidates, with more than 25 projects underway. By designing better drugs, faster, we believe the best ideas of science can rapidly become the best medicines for patients.

    As a Summer Intern in AI/Active Learning you will be working on optimising Exscientia’s algorithms that help decide what costly experiment needs to be performed, and what can be skipped. We want to know better the limits of the tools we have developed, when do they work well and when do they not? Road testing by the Summer Intern AI/Active Learning will offer valuable insights how the next generation active learning tools should be improved.

    Exscientia is a global leader in applying Artificial Intelligence (AI) to modernize the way new medicines are created. We do this by applying the latest research, machine learning and modern high-performance computational methods to transform drug design.

    Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progress AI-designed small molecules into the clinical setting.

    We’re seeking an intern AI/Active Learning to join us this Summer for a period of up to 12 weeks. You will contribute to our mission to develop better medicines, faster, to people around the world.

    Please ensure you attach a Cover Letter outlining your suitability for/ interest in this role otherwise your application may not be considered.

    As the intern AI/Active Learning you will have the opportunity to:

    • Contribute to cutting-edge research by critically analysing limitations of current methods, ultimately impacting decision making on real drug discovery projects.
    • Learn about and implement machine learning methodologies.
    • Be an author on a paper we intend to write based on your results.
    • Develop your programming skills in Python.
    • Develop your skills in cheminformatics and molecular representation.
    • Gain insight on how software and research is conducted in an industrial setting.

    Requirements

    • You are a MSc or PhD student, possibly a last year BSc student.
    • You study a science subject related to Chemistry, Computer Science, Mathematics or Statistics.
    • You will be able to demonstrate through the selection process, intermediate Python programming experience, having worked with pandas and matplotlib is a good start (sklearn is a bonus).
    • Ideally but not necessary: you have experience with a cheminformatics toolkit like RDkit, KNIME, etc.
    • Ideally but not necessary: you have a good understanding of statistics and mathematics (and are interested in machine learning).
    • You are able to work independently, willing to try to figure things out yourself but not afraid to ask for help when stuck either.
    • You are interested in drug discovery.
    • You are available from June-September for a minimum of 8 weeks (ideally 12 weeks).

    Benefits

    • Work together to make a positive contribution to patients by revolutionising the pharmaceutical industry through AI-driven discovery.
    • The opportunity to acquire valuable skills, work on problems that matter, and learn from world-class technological and scientific leaders.
    • Opportunity to join an inclusive, collaborative and intellectually stimulating culture
    • Our team’s health and well-being is important to us we offer a generous holiday allowance, provide flexible working and remote working to encourage all of our team to manage their own work, time and life along with wellbeing and mindfulness support.
    • When you are in the office, you will have access to a kitchen stocked with an endless supply of food for all employees. Along with access plenty of break out areas so you can get to know the people you are working with. Some of the best ideas start with a coffee break!
    • Hear from our team why they enjoy working here