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    Opportunity: Natural Language Processing (NLP) Engineer -- Drug discovery @ An award-winning biotech -- Cambridge, UK
    Submitted by Eugene Mc Daid; posted on Wednesday, November 28, 2018



    Paramount are working closely with an award-winning Biotech based in the heart of Cambridge who are on the lookout for curious, innovative, talented and ambitious Natural Language Processing Engineers to join their thriving AI department.

    Developing cutting edge deep learning approaches to NLP and Knowledge Graph, this progressive start-up is committed to identifying new therapeutics for the millions of children that are suffering with rare diseases, for whom there are currently extremely limited treatment options available.


    As an NLP Engineer, your responsibilities include:
    • Building and refining machine learning infrastructure
    • Automatically extracting significant biological facts from vast quantities of medical and clinical trial literature
    • Organising information gleaned into the company's Knowledge Graph


    The ideal candidate will have:
    • A Msc or PhD in Machine Learning, Data Science, Text Semantics, NLP or a related discipline
    • 3 years+ industry/academic experience in Natural Language Processing, Text Analytics, Artificial Intelligence or Machine learning
    • Experience of Knowledge Graphs
    • Strong software development experience, preferably with Python


    This is vital role that will contribute to critical scientific research that could the vastly improve the quality of life for millions of people. This role has the chance to interact personally with the patient groups who will be directly benefiting from this cutting edge technology, making this opportunity hugely rewarding for those who are passionate about the work. On offer is a competitive salary, flexible working, fantastic location and a wonderfully talented team of people.


    To apply, send your CV to efrancis[at], or for more information, call Emilie on 0121 616 3477.

    Key words: Natural Language Processing, NLP, AI, Machine Learning, Software Engineering, Rare diseases, Biotech, Cambridge

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