Technical Specialist – Single Cell & Spatial Biology

Overview

In this role you will advance single-cell and spatial omics workflows within King’s Smart Trials Hub, delivering high-quality, reproducible omics data across academic and commercial projects. You will work closely with a multidisciplinary team to design experiments, optimise protocols, and troubleshoot complex technical issues. The role focuses on maintaining workflows and equipment, data acquisition and QC, and contributing to the facility’s research capabilities. This on-site position offers an opportunity to influence cutting-edge spatial biology at scale.

Responsibilities

• Deliver and optimise advanced single-cell and spatial omics workflows (RNA and protein barcoding, cell sorting, NGS, whole transcriptome analysis)
• Provide expert experimental design advice and methodological development to ensure robust data across sample types
• Maintain and troubleshoot equipment; ensure high standards of sample and data integrity
• Generate high-quality, reproducible datasets and perform data acquisition and quality control
• Contribute to continuous development of facility capabilities and workflows
• Support cross-project collaboration and knowledge sharing within a multidisciplinary team

Key requirements

• PhD in relevant subject area or equivalent research experience
• Hands-on experience with spatial transcriptomics/tissue profiling platforms (e.g., Chromium, Visium, Xenium)
• Experience in data analysis and QC of single-cell and spatial transcriptomic data
• Experience in method development and workflow optimisation for robust data
• Experience in operation, maintenance and troubleshooting of laboratory equipment
• Experience working in multidisciplinary teams and communicating complex information clearly
• Excellent written and verbal communication skills for reports, publications, and presentations
• Ability to work independently, prioritise competing demands and manage multiple projects

• communication
• collaboration
• attention to detail
• spatial transcriptomics
• single-cell sequencing
• NGS

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