About the role
You will work with the 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 also undertake processing and analysis of the large datasets that arise from the studies and carry out bioinformatics analysis of the data or advise on this analysis.
You will use your experience using techniques in spatial transcriptomics 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.
The post is available immediately and funded by the UK DRI for eighteen months in the first instance with possibility of further extension.
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 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.
About you
You’ll have a PhD in Neuroscience (or a related subject area) and substantial experience producing, designing, and building a spatial transcriptomics system, designing and implementing analysis pipelines for processing spatial transcriptomics data, and employing advanced computational tolls to select cell type marker genes. Advanced knowledge of Python, R, and bash, and excellent communication, problem-solving, and interpersonal skills are also essential for this role.
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.
What we offer
As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:
1. 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
2. Additional 5 days’ annual leave purchase scheme
3. Defined benefit career average revalued earnings pension scheme (CARE)
4. Cycle to work scheme and season ticket loan
5. Immigration loan
6. On-site nursery
7. On-site gym
8. Enhanced maternity, paternity and adoption pay
9. Employee assistance programme: Staff Support Service
10. Discounted medical insurance