Machine Learning Scientist

Compass PathwaysLondon, United Kingdom23 days ago

The Machine Learning Scientist will support a diverse set of initiatives to improve patient selection, treatment and follow-up via the development of novel machine learning & AI algorithms.

You will partner with internal and external stakeholders to develop insights and models to advance discoveries in mental health care.

Roles and responsibilities

  • Provide expertise company-wide on a variety of Machine Learning and AI topics in order to improve the patient journey and provide mission-critical applications as COMPASS grows
  • Develop algorithms & methodologies that incorporate digital and traditional biomarkers (voice, vision, smart device, etc.) in order to improve the treatment process
  • Work collaboratively with engineering (back-end/front-end/UI+UX/ and others) to deploy these algorithms in a highly scalable and distributed infrastructure to help patients in real time
  • Communicate insights with stakeholders with the ability to extract therapeutic intelligence by leveraging external and internal data sources
  • Work closely with stakeholders to identify quantitative and technological needs for various COMPASS projects

Detailed responsibilities/accountabilities

  • The position reports to the VP of Digital Health Research


  • Substantial experience in the field either through industry and/or academia. Biotech & start-up experience a strong plus (Degree in: Statistics, Computer Science, Neuroscience, Engineering, Mathematics, Physics or related)
  • Strong analytical, project management, written and verbal communication skills
  • Proficient in Python (scikit-learn, numpy, pandas, matplotlib, scipy) and experience with Tensorflow/Keras and/or Pytorch
  • Deep experience with at least one of the following: Computer Vision, Natural Language Processing, time-series signal processing, audio signal processing.
  • Understanding of at least 2-3 common machine learning & AI architectures (convolutional neural nets, reinforcement learning, attention & transformer-based networks, graph neural nets, generative adversarial networks, etc.)
  • Comfortable with Linux and the AWS cloud environment
  • Ability to operate independently and in cross-functional teams in an entrepreneurial and rapid growth-oriented environment
  • Strong alignment with core company mission and values; Compassionate, Bold, Rigorous, and Inclusive
  • Ability to work in the UK or US

Additional qualifications – preferred

  • A PhD in a computational field (Degree in Statistics, Computer Science, Neuroscience, Engineering, Mathematics, Physics or related)
  • Industry experience in a machine learning or AI role within a digital health organisation, pharma, or biotech
  • Experience in R (tidyr, dplyr, ggplot2, Rstudio)
  • Background in EEG, fMRI, and other brain measurement technologies a strong plus
  • Familiar with R Shiny and/or other app development technologies such as Django/Angular/Clojure

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