Fully-funded PhD studentship: Single-cell spatial multi-omics for cancer biology

Fully-funded PhD studentship: Single-cell spatial multi-omics for cancer biology University of Cambridge Cambridge Training Full-time 9 hours ago Supervisor Dr Guiping Wang Department/location Cancer Research UK Cambridge Institute Deadline for application 16th October 2026 Course start date 1st October 2027 Project details For further information about the research group, please visit our website at In the Wang Group, we develop and apply interdisciplinary technologies that bridge high-resolution spatial biology and genome-wide discovery.

By integrating multi-omic sequencing and quantitative imaging, we work towards a multi-scale understanding of how molecular composition and subcellular organisation shape cell function, plasticity and disease. A central biology focus of the lab is extrachromosomal DNA (ecDNA) circular DNA elements that drive oncogene amplification, intratumour heterogeneity and therapeutic resistance across many aggressive solid cancers.

This PhD project will help develop and apply cutting-edge single-cell and spatial multi-omic approaches that link molecular signatures to cancer cell vulnerabilities. Working at the interface of molecular, chemical and optical method development and cancer biology, the student will build tools that connect molecular mechanisms of gene regulation to cellular phenotypes in cancer cells, and use them to dissect how ecDNA is organised, regulated and exploited in cancer.

The balance between method development, cancer biology and computational analysis will be shaped around your strengths and interests. Applicants from a physical-sciences or computational background should not be deterred by the biology, nor biologists by the optics and coding: training will be provided in whatever you have not done before. References/further reading Tang J, Weiser NE, Wang G et al.

Enhancing transcription replication conflict targets ecDNA-positive cancers. Nature 635, 210-218 (2024). PMID: 39506153 Wang G, et al. Spatial organization of the transcriptome in individual neurons. bioRxiv doi: 10.1101/2020.12.07.414060 Wang G, Simon D, et al. Structural plasticity of actin-spectrin membrane skeleton and functional role of actin and spectrin in axon degeneration. eLife (2019). PMID: 31042147 Wang G, Moffitt JR, Zhuang X.

Multiplexed imaging of high-density libraries of RNAs with MERFISH and expansion microscopy. Sci Rep 8, 4847 (2018). PMID: 29555914 Moffitt JR, Hao J, Wang G et al. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization. Proc Natl Acad Sci USA 113, 11046-11051 (2016). PMID: 27625426 Preferred skills/knowledge We are looking for a curious, motivated and collaborative student with an interest in interdisciplinary science at the intersection of molecular biology, genomics, microscopy and computation.

Applicants should hold, or expect to gain, an undergraduate or Master's degree in biophysics, biology, physics, chemistry, bioengineering, physical chemistry, biomedical sciences, or a related discipline. Any of the following experience would be helpful, although we do not expect any one applicant to have all of it: Laboratory experience in molecular or cell biology for example mammalian cell culture, nucleic acid work, or immunofluorescence staining.

Hands-on experience of fluorescence microscopy, or of optics and instrument building. Exposure to next-generation sequencing, either at the bench or in analysis. Programming in Python, R or MATLAB, and any experience of analysing image or sequencing data. A previous research project, internship or Master's thesis in a related area. How to apply Please apply at: You should select start date October 2027.

References Please ask your referees to submit their references as soon as possible upon request, despite the longer University deadline for references. They will receive a request once you have completed the References section of your application. Please quote reference SW51030 on