This PhD will use computer science and programming skills to integrate ‘Big data’, digital healthcare records and genomics, to develop and test tools that guide clinical decisions for patients with inflammatory bowel disease. This project will centre on creation and application of personalised/precision medicine, resulting in better outcomes and enabling application to other autoimmune conditions
There is unprecedented potential to learn from existing patient data, such that we can diagnose patients faster, accurately define the specific molecular mechanism underlying disease, and predict outcomes or response to therapy. Application of artificial intelligence to these problems holds significant potential to unlock patient benefit. Inflammatory bowel disease (IBD) is a chronic and heterogenous inflammatory condition, comprising Crohn’s disease and ulcerative colitis. Within 10 years one in every 100 people in the United Kingdom will be living with IBD. About 20-25% of patients have disease onset during childhood and there is life-long morbidity, significant complication rates and huge opportunity to improve outcomes. This project will use computer science and programming skills to integrate digital healthcare and genomic data to develop and test informatic tools that guide clinical decisions resulting in better outcomes for patients with IBD, and other autoimmune conditions. There is a concerted strategy to harness genomic technology to improve the health of the UK population through the NHS and Genomic Medicine Services,
translating to world-leading in generating vast genomic data on patients with rare and complex diseases. Working within trusted research environments, we now have the exciting opportunity to develop and optimise integration of genomic sequencing data with electronic healthcare records on patients from Southampton, alongside.
The project will be supported by researchers within Human Genetic and Genomic Medicine and Computer Sciences. The project is supported by a 5-year NIHR fellowship grant awarded to Dr. James Ashton.
You will have an opportunity to collaborate with industry and other academic institutions including the Oxford University and King’s College London.
Informal enquiries relating to the project or candidate suitability should be directed to Dr James Ashton at [Email Address Removed]
The successful candidate is likely to have the following qualifications:
- A 1st or 2:1 degree in a relevant discipline and/or second degree with a related Masters.
Administrative contact and how to apply:
Please complete the University's online application form, which you can find at
https://student-selfservice.soton.ac.uk/BNNRPROD/bzsksrch.P_Login?pos=7209&majr=7209&term=202324
You should enter Dr James Ashton as your proposed supervisor. To support your application provide an academic CV (including contact details of two referees), official academic transcripts and a personal statement (outlining your suitability for the studentship, what you hope to achieve from the PhD and your research experience to date).
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