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

Date Posted: 10/17/2018

Job Snapshot

Job Description

Our new Analytics Centre of Excellence (Analytics COE) harnesses our global healthcare insights, working closely with our clinical and therapeutic experts to power evidence-driven design, speed site activation and recruit the right patients, faster. This is a new unit within our business, integrated within Clinical Operations. We’re using big data and advanced analytics to derive insights that transform clinical development and bring new medicines to patients faster through successful trial delivery.
This multi-functional team is an innovation for our business, requiring entrepreneurial and independent thinking to build our capability. Unique and with a global view, this Centre of Excellence is a chance to revolutionize the clinical research industry.

Machine Learning Researcher – the role:
This is a new role designed for a new and unexplored environment. Designing machine learning and deep learning algorithms, you will have petabytes of data, state of the art hardware such as massive distributed clusters and GPUs, and professional support to develop ways to design complex and efficient models. Clinical development is an untapped domain space for modern data science so this position offers an opportunity to make a large impact on the industry. 

Additionally, this position is high profile within our organization as it is central to bringing together our data and our clinical expertise. It’s a role about big ideas and free thinking – leveraging tremendous global resources – with the freedom to make an enormous intellectual contribution to data science within the life sciences.  This role also maintains collaboration with the academic industry and offers opportunity for self-directed research.

You will be part of a small group of advanced machine learning researchers and while collaboration will be essential, there is a great deal of autonomy and home working may also be an option.

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 modelling.
  • 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.


Job ID: R1011470