Postdoctoral Research Associate in AI for Musculoskeletal Conditions

Department: Digital Environment Research Institute
Salary: £40,223 - £49,785 per annum (Grade 4)
Reference: 1729
Location: Whitechapel
Date posted: 20 March 2024
Closing date: 28 April 2024

Further details and apply

About the Role

Applications are invited for a Postdoctoral Research Associate with experience in machine and deep learning to work on a research project funded by the Precision Musculoskeletal Care Theme of the recent NIHR Biomedical Research Centre Award to Barts Health NHS Trust.

The research will involve analysis of multi-omics 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.

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 of 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.

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

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 (£40,223 - £49,785 per annum).

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Valuing Diversity & Committed to Equality

Further details and apply