Applications Specialist – Single Cell

Overview

In this role you support high-quality genomics service delivery within the Single Cell and Spatial Transcriptomic streams at UCL Genomics. You will assist collaborators from experimental design through QC, library generation, and data production using NGS, contributing to a leading genomics core facility. You’ll manage lab workflows, data management via LIMS, and help drive continuous improvement and collaboration with researchers, clinicians, and industry partners. The position offers growth across sequencing technologies and potential leadership of the spatial transcriptomics stream.

Pay / Benefits

• 41 days holiday (including 27 days leave, 8 bank holidays, 6 closure days)
• Hybrid Final Salary Pension Scheme
• Cycle to work scheme and season ticket loan
• On-Site nursery
• On-site gym
• Enhanced maternity/paternity/adoption pay

Responsibilities

• Assist experimental design, sample QC, and processing for single cell and spatial transcriptomic workflows
• Generate libraries and produce data using Next Generation Sequencing (NGS)
• Maintain and utilize LIMS for administration and project planning
• Support internal and external users to ensure timely, high-quality results
• Collaborate with Applications Specialists and researchers to deliver reliable service
• Potentially lead expansion and strategic development of the spatial transcriptomics stream (grade 7)
• Present findings in internal and external meetings and symposia as required
• Contribute to testing/validation of new solutions for scRNAseq and spatial assays

Key requirements

• Strong practical experience in molecular biology techniques (e.g., PCR/qPCR)
• Knowledge of scRNAseq and spatial transcriptomic assays
• Experience operating NGS sequencing platforms or willingness to be trained
• Comfort following detailed laboratory protocols
• Good team player with ability to work independently and manage workload
• Effective communication and proactive service mindset

• team player
• attention to detail
• good communication
• PCR/qPCR
• sample QC
• NGS data generation

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