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Research Associate in AI for Multimodal Healthcare Data
2 weeks ago
We are seeking two ambitious Postdoctoral Research Associates who is passionate about foundation models, multimodal AI, and longitudinal health and care data to join our world-leading multidisciplinary team at the NIHR Manchester Biomedical Research Centre Digital Infraestructure. You will collaborate with experts in computational medicine, clinical informatics, and translational healthcare, working at the cutting edge of AI innovation in medicine.
You will harness real-world clinical data from the Greater Manchester Care Record and the North West Secure Data Environment, as well as partner with NHS trusts, to develop revolutionary generative AI approaches and foundation model architectures for creating synthetic virtual patient populations from vast, multimodal healthcare datasets. Your work will involve designing advanced deep learning algorithms and high-throughput workflows for longitudinal patient trajectory modelling, incorporating clinical variables, diagnostic imaging, digital pathology, multi-omics data, and electronic health records.
This is an extraordinary opportunity to apply your expertise to large-scale population health datasets, including UK Biobank, clinical trials data, and real-world data from across Greater Manchester's integrated care system and the North West Secure Data Environment, making a transformative impact in precision medicine, cardiovascular health, cancer research, and respiratory medicine.
Working under the co-supervision of Prof. Alejandro F. Frangi (Computer Science) and Dr. Stuart Grant (Clinical Medicine), you will contribute to the NIHR BRC Digital Infrastructure Strategy and collaborate with the NIHR BRC Themes, translating cutting-edge AI research into solutions that directly impact patient care.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to
Any CV's submitted by a recruitment agency will be considered a gift.
Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.
Enquiries about the vacancy, shortlisting and interviews:
Name: Alex Frangi
Email:
General enquiries:
Email:
Technical support:
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
