Senior Research Technician, Single Cell and Spatial Omics Platform

The UK DRI Single Cell and Spatial Omics (SCSO) Platform carries out wet lab experiments and computational analysis of experiments employing single cell and spatial -omics techniques for researchers based in the UK DRI, UCL Institute of Neurology, and affiliated labs.

The SCSO Platform provides access to specialised equipment and training to utilise said equipment, advice and recommendations for experiment planning and grant writing, and oversees and manages equipment.

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.

Informal enquiries regarding the role can be addressed to Dr Daria Gavriouchkina (d.gavriouchkina@ucl.ac.uk)

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.