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Postdoctoral Research Associate in AI for Musculoskeletal Conditions

Department: Digital Environment Research Institute
Salary: £37,348 - £48,414 per annum pro-rata inclusive of London Allowance.
Reference: QMUL32716
Location: Whitechapel
Date posted: 30 May 2023
Closing date: 11 June 2023

Further details and apply


About the Role

Applications are invited for a Postdoctoral Research Associate with experience/knowledge in machine and deep learning to work on the Precision Musculoskeletal Care Theme of the recent NIHR Biomedical Research Centre Award to Barts Health NHS Trust. This Theme aims to harness this wealth of information to improve healthcare delivery and patient outcomes for musculoskeletal conditions of particularly high burden in the East End of London.

The research will involve analysis of multi-omic data including our unique biomedical resource of 1000 RA patients with longitudinal biopsy and matching blood, as well as patient reported outcome measures (PROMs) for clinical management.  Methods likely to be relevant include traditional machine learning approaches such as logistic regression and gradient boosting, as well as Bayesian networks and deep neural networks. 

This work forms part of the research portfolio of the National Institute for Health and Care Research Barts Biomedical Research Centre (NIHR203330); a delivery partnership of Barts Health NHS Trust, Queen Mary University of London, St George’s University Hospitals NHS Foundation Trust and St George’s University of London.

The role is funded for 3 years in the first instance.

About You

The ideal candidate will have a PhD in a numerate field with expertise in machine and deep learning methods, supported by high quality publications. Experience applying such methods to healthcare data is an advantage.

Appointment at Grade 5 will be made based on level of experience in relation to the duties and expectations of the role and person specification, as outlined in the Job Profile

About the Institute

The Digital Environment Research Institute (DERI) is Queen Mary’s first University Research Institute, created as part of the university’s ambitious Strategy 2030.  University Research Institutes represent a paradigm shift as they are outside the standard Queen Mary faculty structure and collaborate across the university to advance multi-disciplinary research and innovation. 

DERI is dedicated to ground-breaking research in digital and data science, including artificial intelligence (AI).  DERI offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs.  Further, DERI leads the university’s participation in The Alan Turing Institute, the UK national institute for data science and AI.  By tackling grand challenges, DERI will have impact in academia, government, industry and more broadly, society.


We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus. 

The post is based at the Whitechapel Campus in London. The starting salary will be commensurate with skills and experience, inclusive of London Allowance.  The salary range for this post is Grade 4-5, £37,348 - £48,414 per annum.

Informal enquiries should be addressed to (Greg Slabaugh) at

To apply for the role, please click the ‘apply’ button below.

The closing date for applications is 11 June 2023

Interviews are expected to be held shortly thereafter.



Further details and apply

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