Research Technician (Clinical Study & Analysis)

Applications are invited for a Research Technician to directly support patient data collection for the development of a speech-based AI detection tool for neurological disease.   

Neurological diseases such as Parkinson’s Disease, Alzheimer’s disease and brain tumours remain very difficult to detect early. Symptoms can often overlap with more commonly occurring conditions such as migraine, depression stress or fatigue. Earlier detection might improve outcome for these diseases. 

BrAInDetect has been developed by researchers at the University of Leeds. It is a speech-based AI tool that analyses multiple features of raw audio, generated by patients answering a carefully curated set of questions, to detect whether the respondent might have a brain tumour. We would like to expand the brain tumour and healthy volunteer datasets, alongside collecting data for symptomatic patients without proven neurological disease and patients with neurodegenerative diseases. 

What we offer in return 

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme options plus life assurance
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.  All FMH staff are entitled to ten days staff development per year (pro rata). Please speak to your Line Manager about how you can utilise these.
• Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

To explore the post further or for any queries you may have, please contact:  

Name: Ryan Mathew, Title: Associate Professor and Honorary Consultant Neurosurgeon. 

Email: R.K.Mathew@leeds.ac.u

Further Details:
Candidate Brief

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