Location: | Newcastle upon Tyne |
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Salary: | £32,296 to £36,924 per annum. See advert text for details. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 6th December 2024 |
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Closes: | 5th January 2025 |
Job Ref: | 27809 |
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
Salary
Research Assistant: £32,296 to £33,882 per annum.
Research Associate: £34,866 to £36,924 per annum.
The Role
Your role will focus on characterising the complex, dynamic inter-relationships between immune mediated inflammatory disorders (IMIDs, including for example psoriasis), the systemic drugs used for treatment and clinical outcomes using innovative artificial intelligence (AI) methodology. IMIDs are typically long-term conditions that are often associated with a range of multiple long-term conditions (MLTCs) and require long-term drug treatment. IMIDs and their associated MLTCs pose major challenges to health systems internationally. Increased understanding about how individuals affected by IMIDs develop multiple conditions over time and how this process is influenced by specific drugs and polypharmacy will be used to inform health care pathways and patient safety. You will be responsible for making multiple patient datasets, primarily Electronic Health Records (EHRs), research-ready so they can be leveraged using AI methods to help address key clinical research questions. You will work closely with Prof Nick Reynolds and Prof Michael Barnes who co-lead a related multidisciplinary NIHR AIM AI-MULTIPLY project (http://ai-multiply.co.uk/), clinicians including Dr Philip Hampton, consultant dermatologist and their research teams.
You will join a vibrant interdisciplinary team of researchers within the Newcastle NIHR Patient Safety Research Collaboration (PSRC), based in our School of Pharmacy. This post is an appointment to the ‘Artificial intelligence and data science in MLTCs' theme. Research within this theme will focus on applying innovative explainable AI-methodology and insights to identify risk and improve safety for patients with MLTCs (including IMIDs). For this project there will be a particular focus on understanding the complex interaction between IMIDs, subsequent development of MLTCs and polypharmacy. Using novel data science approaches, a key aim will be to assess and optimise the monitoring of therapies used for IMIDs in the clinical setting to improve patient safety.
This post is full-time, fixed-term for a period of 3 years.
For informal enquiries contact: Prof Nick Reynolds (nick.reynolds@ncl.ac.uk), Dr Philip Hampton (philip.hampton@nhs.net) or Prof Mike Barnes (m.r.barnes@qmul.ac.uk).
For informal enquiries about the Newcastle PSRC contact: Professor Andy Husband PSRC Director on andy.husband@newcastle.ac.uk.
Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/.
Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/.
For more information about the School of Pharmacy, please visit: https://www.ncl.ac.uk/pharmacy/.
As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.
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