Overview
In this role you enable cutting-edge single-cell spatial omics at King’s Smart Trials Hub, delivering and validating complex workflows across academic and industry projects. You will work within a multidisciplinary team to optimise protocols, manage data quality, and troubleshoot technical challenges, helping to expand the facility’s capabilities. The position offers hands-on work with leading technologies and a clear impact on high-resolution disease biology and personalised therapies.
Responsibilities
- Deliver and optimise single-cell spatial omics workflows (RNA/protein barcoding, cell sorting, NGS, transcriptome analysis)
- Provide expert guidance on experimental design and emerging methodologies
- Maintain and troubleshoot equipment and workflows to ensure data integrity
- Acquire and QC high-quality, reproducible datasets across diverse sample types
- Contribute to method development and continuous expansion of facility capabilities
- Collaborate with multidisciplinary teams and communicate complex scientific information effectively
- Record-keeping and attention to detail to support robust research outputs
Key requirements
- PhD in relevant subject area or equivalent research experience
- Hands-on experience with spatial transcriptomics and/or tissue profiling platforms (Chromium, Visium, Xenium)
- Experience in data analysis and QC of single-cell/spatial transcriptomics data
- Proven ability to develop and optimise workflows for robust, reproducible data
- Experience operating, maintaining, and troubleshooting laboratory equipment
- Strong collaboration skills and ability to communicate with diverse stakeholders
- Excellent written and verbal communication for reports, publications, and presentations
- Ability to work independently, prioritise, and manage multiple projects to deadlines
- Excellent communication and collaboration
- Attention to detail
- Problem-solving mindset
- Spatial transcriptomics and tissue profiling techniques
- NGS data generation and analysis
- Method development and workflow optimisation
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