QuintilesIMS is a leading integrated information and technology-enabled worldwide healthcare service provider. Formed by the merger of Quintiles and IMS Health, we use our experience, resources and reputation to help our clients drive healthcare forward.

We are a leading global information and technology services company providing clients in the healthcare industry with end-to-end solutions to measure and improve their performance. With a revenue of $3.3 Billion and operating in 100+ countries with 5000+ clients and 15000+ employees worldwide, the company delivers unique insights into diseases, treatments, costs and outcomes for customers including pharmaceutical, consumer health and medical device manufacturers and distributors, providers, payers, government agencies, policymakers, researchers and the financial community.

Individuals joining us are assured of a rewarding career in healthcare data analytics and consulting, with opportunities to address diverse and challenging problems of healthcare clients, directly manage client relationships, interact with senior leaders and gain exposure to a truly multi-cultural, collegial and collaborative work environment.

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, 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.

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.

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.

Total Rewards: We invest in people through a range of initiatives in compensation, benefits, and learning and development, and we strive to create an environment where our employees are challenged, empowered and can flourish.

QuintilesIMS is an Equal Opportunity Employer. We cultivate a diverse corporate culture across the 100+ countries where we operate, celebrating and rewarding teamwork and inclusiveness. By embracing our differences, we create innovative solutions that are good for IMS, our clients, and the advancement of healthcare everywhere.