Department of Surgery
The Mitchell Group at the Cambridge Early Cancer Institute is seeking a highly motivated and skilled Research Assistant with a background in computational biology to join their team specialising in kidney cancer research. This is an exciting opportunity to contribute to a large-scale, collaborative project investigating the genomic evolution of kidney cancer, using a uniquely rich cohort of patient samples and data. The project integrates whole-genome sequencing, transcriptomics, epigenetic profiling, and clinical information to uncover the key molecular drivers that underpin tumour progression and therapeutic response.
The successful candidate will play a central role in the group's research efforts, taking responsibility for the curation, analysis, and integration of complex, large-scale genomic datasets. This includes the processing and quality control of whole-genome sequencing data, methylation data, and RNA-sequencing data, as well as the development and application of computational methods to derive meaningful biological insights. The role also involves generating clear and informative data visualisations and contributing to discussions and decision-making within the wider research team. The ability to maintain well-documented, reproducible analysis pipelines is essential, as is a commitment to open, collaborative science.
Applicants should hold a Master's degree or equivalent in Computational Biology, Bioinformatics, Genomics, Data Science, Biostatistics, or a related field.