Research Associate* (Computational Neurogenomics and AI Modelling) [Fixed Term]

We are seeking to appoint a Research Associate to join the Ryten Group at the UK Dementia Research Institute at the University of Cambridge.

This is a fixed-term post of two years funded by the UK Dementia Research Institute.

The major purpose of this postdoctoral position is to develop and apply advanced computational and artificial intelligence approaches to integrate large-scale genomic and transcriptomic datasets in order to understand molecular mechanisms underlying neurodegenerative disease. The successful candidate will design and implement machine-learning frameworks for the analysis of complex multi-modal datasets, including single-cell, bulk and long-read transcriptomic data.

The role will contribute to the identification of regulatory mechanisms that drive neuronal vulnerability and disease progression in dementia and related neurological disorders. The successful candidate will be expected to disseminate research findings through high-quality publications, presentations at international conferences and active participation in collaborative projects across the UK Dementia Research Institute network.

Applicants must have (or be close to obtaining) a PhD.

*Appointment at Research Associate* level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £34,610) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

Applications should be made online via the University of Cambridge jobs website.

For informal inquiries regarding the role, contact Professor Mina Ryten mr2022@cam.ac.uk 

The role will be based at the UK DRI, Island Research Building Cambridge Biomedical Campus, CB2 0AH  

The University values diversity and is committed to equality of opportunity. We particularly encourage women and/or candidates from a Black, Asian and Minority Ethnic background to apply for this vacancy as they are currently under-represented at this level within our University. 

Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. 

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

The closing date for applications is: 12th April 2026

The interview date for the role is:  27th April 2026

Please quote reference RR49177 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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