This specific post is associated with a new initiative recently launched at Newcastle University, to address the key Data Science and Biomedical challenges to enable a long-term vision of Preventive, Predictive, Personalised, Participatory, Precision medicine. Aligning with the Government’s plan for the future of healthcare, the program embraces a major paradigm shift, moving away from a detect-and-cure approach and towards personalised interventions aimed at preventing chronic diseases and extending the wellness state in ageing individuals.
Underpinning this paradigm shift is an understanding of "Big Health Data”, including individuals’ genomics data and biochemical markers, their Electronic Health Records, as well as new kinds of digital biomarkers data extracted from an increasing variety of personal self-monitoring devices. Extracting value out of this data requires a combination of Biomedical and Data Science expertise.
To address these challenges we are bringing together biomedical experts and computational scientists, both in Newcastle as well as in the wider UK, through our participation in the Alan Turing Institute for Data Science and Artificial Intelligence under its “Revolutionising Healthcare” programme.
The ideal candidate for this post will either have a background in biomedicine with a strong interest/expertise in data science and/or a background in data science with a strong interest/expertise in biomedical applications. The NUAcT programme offers personalised cross-training to ensure that Fellows are best positioned to work on data-driven biomedical research as part of a multidisciplinary team, with a strong focus on research impact.
