You will work with the SCSO (Single Cell and Omics) Platform Manager to provide services, collaboration opportunities and technical support across the distributed structure of the UK DRI. You will work with researchers to ensure access to a range of techniques regardless of physical location. You will use your experience to enable UK DRI scientists to apply the techniques to their research. As a scientist who values and prioritises collaboration in research, you will work with UK DRI researchers on a range of neurodegenerative disease types, mechanisms and models, implementing the best available technology for the job at hand and striving for excellence in data quality to help meet the scientific aims of the UK DRI. You will be involved in providing training in using the techniques for UK DRI scientists across the institute including UCL. You will support the Platform Manager in RNA extractions from a variety of appropriate tissues and Illumina library preparation for sequencing, running Illumina sequencer, single cell RNA-seq and method development when necessary. The post is available from 01 November 2026 and funded by UK DRI for 1 year 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.
For informal enquiries about the role please contact Dr. Daria Gavriouchkina.
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 a BSc in biological sciences or related subject area, or equivalent experience, and experience of working in experimental laboratory research. Experience of working with RNA (RNA isolation from various tissues, cDNA synthesis or Illumina library preparation or single cell RNA-seq), of data analysis of data produced using single cell or bulk transcriptomics, of carrying out immunocytochemistry and of working with UK Biobank data for studies investigating ageing and neurodegenerative disease is essential, as is an understanding of neuroscience and neurodegenerative diseases. Prior experience and the ability to carry out transcriptomic data analysis using R and strong problem-solving abilities are also a requirement.
This role does not meet the eligibility requirements for a Skilled Worker Visa certificate of sponsorship under UK Visas and Immigration legislation. Therefore, UCL will not be able to sponsor individuals who require right to work in the UK to carry out this role.
The post is graded as UCL Grade 6 with a starting salary in the range £36,433 – £37,277 per annum, including London Allowance. As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
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. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visit our EDI website for more information about our initiatives and priorities. The Institute also holds an Athena SWAN Gold award, in recognition of our commitment and demonstrable impact in advancing gender equality.
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.
Available documents:
Tagged as: Life Sciences
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