Research Assistant in Neuroimaging

Research Assistant in Neuroimaging

We are seeking a Research Assistant to support high-quality human neuroimaging research across the Department's range of imaging platforms. You will contribute to the safe and effective collection of data across a variety of cognitive neuroscience studies, with a particular focus on supporting study participants and the safe operation of the MRI environment.

Your responsibilities will include consenting study participants, operating neuroimaging equipment following appropriate training, managing and curating data from imaging sessions, carrying out routine equipment checks and supporting quality assurance procedures. You will work closely with researchers and colleagues across the Department to ensure that data are collected accurately, safely and to a high standard.

This role offers an excellent opportunity to develop practical experience in human neuroimaging within a world-renowned research environment. You will receive training in the use of the Department's scanners and related procedures and gain experience across a range of neuroimaging platforms and research studies.

The post is available immediately and is funded for two years in the first instance.

If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team.

Informal enquiries regarding the role can be addressed to Daniel Bates.

A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel.

You will have an Honours degree in neuroscience, psychology, radiography, physics, engineering or a related discipline, together with hands-on experience of working with a neuroimaging modality, such as MRI, MEG or EEG. You will have an understanding of scientific research and MRI safety principles, as well as experience of working with databases and a strong working knowledge of data protection and GDPR.

You will have excellent interpersonal, communication and IT skills and be able to work effectively and cooperatively within a multidisciplinary research environment. You will be a confident problem-solver who can learn new skills quickly, work resourcefully and use your own initiative while maintaining a high level of care and consideration for research participants.

Starting salary offered in the range £39,807 – £42,891 per annum, inclusive of London Allowance.

As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days' annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• On-site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

  We will consider applications to work on a part-time, flexible, and job share basis wherever possible.

  This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information.

  The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone.

  As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

  We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce; these include people from Black, Asian and ethnic minority backgrounds, disabled people, LGBTQI+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.