Machine Learning Scientist
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, UK, part of the Nuffield Department of Women’s & Reproductive Health at the University of Oxford, is looking for a Machine Learning Scientist 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 – in both policy and practice - with the application of modern machine learning algorithms (including, but not limited to deep learning) to large multi-modal medical data (e.g., medical records, genetics, medical imaging, and wearable).
Your responsibilities will include: employing existing (and develop new) Machine Learning algorithms that can learn personalised and population-level patterns in multi-modal data; mapping the results of the Machine Learning works to innovative solutions for the delivery of care (e.g. complex healthcare problems); leading grant applications to major funding bodies; participating in, leading, and developing innovative cross-functional projects; reviewing, directing, guiding and inspiring the research of more junior scientists in the team, including DPhil students; communicating research findings in the form of scientific publications, policy reports, conferences or public meetings; undertaking programme management and monitoring functions, including overseeing of access to and use of large-scale biomedical datasets.
You will hold a PhD/DPhil (or near completion) in computer science, statistics, engineering or other relevant areas. You will have deep theoretical expertise and applied experience in machine learning (ideally, a combination of excellent academic research and high-impact applied experience), a proven track record of academic excellence (evident from past projects and/or publications and/or grants) as well as a strong foundation in one or more advanced AI topics (e.g., Bayesian and probabilistic machine learning, deep learning, sequence models, NLP, causal inference, etc.). Advanced programming skills in Python (and their related data processing, machine learning, deep learning, and visualisation libraries), excellent communication skills as well as the ability to work independently and show initiative as part of the team are also essential for this role.
This position is 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.
Type of career: Jobs
Country: United Kingdom
Application close date: 30/09/2019