Research Assistant

Professor Sir John Hardy’s Laboratory, based in Queen Square House, is focused on the use of genomic data to understand the genetic variability in neurodegenerative diseases. This research is being performed with the aim of improving the diagnosis and treatment of patients with neurodegenerative disorders.

The group uses high dimensional genetic and clinical data to identify and assess risk of neurodegenerative disorders in various cohorts as well as patterns of degeneration in patients with Alzheimer’s disease and other neurodegenerative disorders. The group studies several neurodegenerative disorders and works closely with other teams at IoN including the movement disorders team and the Dementia Research Centre.

You will contribute to the maintenance and management of datasets, and the development of pipelines for quality control and analysis of the data sets. Your role will have a particular focus on the use of genetic analysis techniques and bioinformatics to analyse data sets, and ideally you will also be able to build and interpret statistical models. This role will allow you to contribute to the overall understanding of neurogenetics and related research developments.

The role is available immediately and funded by the Dolby Foundation for three years in the first instance.
This role is eligible for hybrid working with a minimum of 40% on site.

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 (ion.hradmin@ucl.ac.uk).

Informal enquiries regarding the role can be addressed to Dr Maryam Shoai (m.shoai@ucl.ac.uk).

For a full job description and to apply for this role please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs) and search using vacancy reference B02-04874.

You’ll have an undergraduate degree (minimum 2:1) in Computer Science, Bioinformatics, or Biostatistics, coupled with experience of research in neurological disorders and working with clinical data. The ability to use cluster computing, perform analysis in R, and proficiency in using command-line and writing and running scripts is also essential.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

The role is offered in the range of £35,702 - £37,548 per annum including London Allowance.

As well as the exciting opportunities this role presents, we also offer some great benefits; visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.

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. 12% of Institute staff are actively working on EDI initiatives; visit https://www.ucl.ac.uk/ion/equality-diversity-inclusion for more information about what we’re doing. 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.

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