Research Assistant UK Dementia Research Institute-UCL

Vacancy Reference Number
Closing Date
24 Jun 2021
£31,542 - £33,257 per annum
UK DRI at UCL, Queen Square
The post is available from September 2021 and is funded by the UK DRI at UCL for 1 year in the first instance.

Job Details

Dementia is the greatest health challenge of our century. To date, there is no way to prevent it or even slow its progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it.

The UK Dementia Research Institute (UK DRI) is the biggest UK initiative driving forward research to fill this gap.

We are a globally leading multidisciplinary research institute of 700 staff investigating the spectrum of neurodegenerative disorders causing dementia, with laboratory-based research groups located at University College London, the University of Cambridge, Cardiff University, Edinburgh University, Imperial College London and King’s College London.

The Hong lab is looking for a highly motivated Research Assistant to support projects that aim to discover drivers of synaptic vulnerability in neurodegenerative diseases using several state-of-the-art tools. The post holder will provide technical as well as organisational support to the team and will utilise super-resolution imaging techniques to study microglia immunobiology and synaptic vulnerability in multiple neurodegenerative disease models. The candidate will also contribute to the optimisation of imaging method and analysis, and the analysis of large proteomic and lipidomic datasets in silico.

Person Criteria

Applicants should have an excellent undergraduate degree (first or equivalent) in Neuroscience, Life Sciences or a cognate area. A minimum of 1 year’s wet lab experience working in an interdisciplinary research environment studying neuroimmunology and neurodegenerative disease is essential, as is a minimum 1 year’s experience with super-resolution imaging in a laboratory setting, translating to proficiency in performing cryostat

sectioning, immunohistochemistry and super-resolution microscopy. Experience analysing large proteomic and/or lipidomic datasets, an interest in the work of the Hong laboratory, proficiency in Airyscan or STED super-resolution microscopy and familiarity of using image processing software are also required.

How to Apply

Contact Details

If you have any queries regarding the application process, please contact Samantha Robinson, HR Officer,