The successful candidate will work in the Advanced Light Microscopy Facility (ALMF) and CBA at EMBL. In this role, you will support and develop cutting-edge and user-friendly workflows for the analysis of spatial multi-omics data. The focus will be on the analysis of image-based transcriptomics data generated using in situ sequencing (ISS) technology, which allows RNA molecule detection at subcellular spatial resolution. You will work on data import, image registration, artifact removal, spot detection, and transcript identification. You will also be involved in the establishment of an interactive visualization platform enabling quality control and scientific discovery in spatial multi-omics data. Data generation has already begun and will continue in the future, through imaging of tissue sections from non-small-cell lung carcinoma (NSCLC) patients in collaboration with GSK Cellzome. The ultimate scientific aim is the detailed spatial characterization of the tumor microenvironment.
As our ideal candidate, you will have a university degree in either life sciences, physics or engineering, preferably with a PhD. Experience in advanced light microscopy techniques, image analysis and image data handling is essential. Experience with one or more programming languages such as Python or Java is required. You should be a team player and have good communication and organisational skills. Fluency in English is compulsory.