Research Scientist in Machine Learning

    Machine Medicine Technologies Published: June 11, 2020
    London, United Kingdom
    Job Type


    About us

    Machine Medicine Technologies (MMT) uses computer vision and computational statistics to enhance the neurological assessment of patients. Their first product, KELVIN-PD, allows motor assessments in Parkinson’s disease to be performed, recorded and used both faster and better than has ever previously been possible. KELVIN-PD is already in use at multiple clinical sites and already possesses a CE mark, being a class I medical device. MMT aims to build the platform into a generalised tool for patient selection, surgical planning and device programming for machine brain interfacing, a revolutionary therapeutic innovation. This will require the product to be built to the standards of a class III medical device.

    About you

    You are an ambitious and capable PhD research scientist in computational statistics and machine learning, with a solid publication record and several years post-PhD experience in industrial or academic labs. You are conversant with the relevant branches of mathematical statistics, including Bayesian inference, MCMC and time series analysis. Previous work in a biomedical sector would be beneficial but not mandatory. You care about impact and want to do work that matters.