Research Assistant in Machine Learning
Do you have expertise in Machine Learning? Could you use this experience to help us create game-changing solutions for healthcare problems?
The George Institute for Global Health, part of the Nuffield Department of Women’s & Reproductive Health at the University of Oxford, is looking for a Research Assistant in Machine Learning to join the team and contribute to the development and implementation of the algorithmic core of a series of exciting new projects in Oxford Martin School’s prestigious programme on Deep Medicine. The programme is focused on tackling major healthcare problems, with the application of modern machine learning algorithms to large-scale multi-modal (e.g. genetics, medical imaging, medical records, remote sensing) datasets.
You will hold an MSc/MEng (or near completion) in computer science, engineering, statistics, or in a relevant area. You will also have great programming skills (ideally, in Python and for deep learning), applied experience in Machine Learning (e.g. for classification, regression and clustering) and experience of dealing with and processing large datasets, and data/model visualisation libraries. Completion of at least one significant project (e.g. a Master’s research project), excellent communication skills and the ability to work independently and show initiative as part of the team are also essential for this role.
This position is offered full-time and fixed-term for 2 years. Applications for flexible working arrangements are welcomed and will be considered in line with business needs.
You will be required to upload a CV and supporting statement as part of your online application.
For further details and to apply, please visit the University of Oxford jobs portal.
The George Institute for Global Health (‘TGI’) is 700+ people around the world, all focused on improving the health of millions of people worldwide. As a medical research institute affiliated with leading universities and with projects in approximately 50 countries, we are challenging the status quo in healthcare to:
- Find better treatments for the world’s biggest health problems
- Transform primary health care to support better health for more people
- Harness the power of communities, governments and markets to improve health
Our innovative commercial enterprises help maximise our impact.