Machine Learning Researcher (R1011470) in London, UK at IQVIA™

Date Posted: 9/17/2018

Job Snapshot

Job Description

Your typical activities might include:

  • Developing deep learning, machine learning, and data mining technologies.
  • Advanced feature engineering on time series, corpuses, and other sequential datasets.
  • Predicting disease outcomes and early diagnoses.
  • Designing new algorithms to find predictive patterns that combine heterogeneous data assets.
  • Working with electronic medical records, healthcare claims, and clinical trial data.
  • Working with technology teams to support machine-learning algorithms in big data platforms.
  • Supporting customized projects by designing and implementing algorithms and statistical models on related datasets.

Qualification:

Our ideal candidate will have:

  • A Masters’ degree with several years’ experience and a view to completing a PhD, or a minimum of PhD (with research in machine learning algorithms) if coming straight out of education.
  • An in-depth understanding of machine learning algorithms and modeling.
  • Experience in Python or R.
  • Exposure to Spark/Hadoop and either Theano/Tensorflow/Caffe/Torch.
  • Mastery of relevant mathematics for machine learning such as linear algebra and gradients.
  • Ideally you may have a mathematical background in Cognitive Science, Deep Learning, Advanced Semantic Design, Information Extraction, Information retrieval, Probabilistic Decision Marking, or similar.

Closing date 23 September 2018

Salary Competitive, plus bonus & benefits



Job ID: R1011470