You will hold a PhD (or be near completion) in bioinformatics or a related biological sciences discipline with substantial programming experience, especially in R or Python, and a robust background in cancer immunology, spatial-omics, and ex-vivo techniques such as patient-derived explants (PDEs), multiplexed immunofluorescence and digital pathology.
Proficiency with Linux command line, experience in developing and optimising computational pipelines, and familiarity with machine learning and dimension reduction methods are essential. You will demonstrate strong research output, excellent communication skills, the ability to work both independently and collaboratively in fast-paced environments, and a keen enthusiasm for high-quality research delivery.