Machine Learning Researcher

Job Description

Machine Learning Researcher

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.

A career at QuintilesIMS will give you the opportunity to play an important part in helping our clients improve patient healthcare and make real medical breakthroughs.

The Analytics Center of ExcellenceDrawing on the strengths of Quintiles and IMS Health, QuintilesIMS is creating the next generation of clinical development. Our new solutions combine world-class clinical research and data-driven insights to offer clients more precise and predictable paths to product approval.

The new Analytics Center 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 Center of Excellence is a chance to revolutionize the clinical research industry.

Machine Learning Researcher – the roleThis 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 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.

You can drive your career at QuintilesIMS and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. We invite you to join us on our exciting journey. Apply now.

Help us make a difference in patient health.

QuintilesIMS is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.