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University of Cambridge  Jobs

University of Cambridge

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

Closes:

227

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 https://www.cruk.cam.ac.uk/research-groups/wang-group/

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: https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc

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 your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Download further information

Key information

Department/location: Cancer Research UK Cambridge Institute

Reference: SW51030

Category: Studentships

Date published: 9 September 2026

Closing date: 16 October 2026

Job details

Title
Fully-funded PhD studentship: Single-cell spatial multi-omics for cancer biology
Employer
University of Cambridge
Location
Cambridge, United Kingdom
Published
Sep 15, 2026
Closes:
Oct 16, 2026
Job type
Full time, Student / Phd Jobs
Field
Postgrad Student Opportunity

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Frequently Asked Questions

🎓What qualifications are required for this fully funded PhD studentship?

You 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. Preferred experience includes molecular or cell biology, fluorescence microscopy, next-generation sequencing, and programming in Python, R, or MATLAB. Read our guide on fully funded UK PhD scholarships for broader eligibility context.

🔬What will I research during this PhD in single-cell spatial multi-omics?

You will develop and apply single-cell spatial multi-omics methods that connect molecular signatures to cancer cell vulnerabilities. The project focuses on extrachromosomal DNA (ecDNA), oncogene amplification, intratumour heterogeneity, and therapeutic resistance. You will integrate multi-omic sequencing and quantitative imaging, with the balance of method development, cancer biology, and computation tailored to your strengths. Explore similar work in spatial multi-omics tools.

📝How do I apply for the PhD studentship at Cancer Research UK Cambridge Institute?

Apply through the University of Cambridge graduate portal at postgraduate.study.cam.ac.uk. Select start date October 2027, quote reference SW51030, and ensure referees submit references promptly. Before submitting, review our advice on writing a winning academic CV.

💡Do I need prior experience in both biology and computational methods?

No, applicants from physical sciences or computational backgrounds should not be deterred by the biology, and biologists need not worry about the optics and coding. Training will be provided in areas you have not done before. Any experience in mammalian cell culture, nucleic acid work, immunofluorescence staining, microscopy, next-generation sequencing, or Python/R/MATLAB is helpful but not all required.

📅What is the application deadline and when does this funded PhD start?

The application deadline is 16 October 2026, and the course start date is 1 October 2027. Submit your application through the University of Cambridge portal and ask referees to respond as soon as requested. For more fully funded opportunities, see top funded PhD programs in the UK.

💰Is this PhD studentship fully funded and open to international students?

This is a fully funded PhD studentship covering costs for the duration of the project. The University of Cambridge actively supports equality, diversity and inclusion and encourages applications from all sections of society. All applicants must be eligible to live and work in the UK; consult the course directory for visa and funding details. You can also browse scholarships for additional support.

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University of Cambridge  Jobs

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