Research Associate in Human Intestinal Organoid Models
Drive human intestinal organoid biobanking and multi-omics profiling for predictive disease modeling at the University of Cambridge.
Best for:Best for molecular and stem cell biologists with hands-on organoid culture and multi-omics experience.
Overview
The University of Cambridge seeks a motivated Research Associate to join Professor Matthias Zilbauer's group at the Cambridge Stem Cell Institute. Working within a national research initiative focused on predictive human disease models, the appointee will optimize intestinal organoid culture systems, expand biobank cell lines, and perform molecular and epigenetic profiling. The role combines independent research with multidisciplinary collaboration alongside academic and commercial partners to advance translational biomedical science. Candidates must hold or be close to completing a PhD in a relevant biological discipline and possess hands-on expertise in organoid culture.
What you'll do
- Develop, optimize, and maintain human intestinal organoid culture systems to expand the organoid biobank.
- Contribute to the target of establishing an additional 2,000 human intestinal organoid lines.
- Implement and support automated culture workflows and advanced functional assays.
- Perform molecular and epigenetic profiling including DNA methylation and spatial transcriptomics.
- Apply cellular and molecular techniques to characterize intestinal organoid models independently and collaboratively.
- Engage with internal researchers, clinical collaborators, and external industry partners to support reproducible disease models.
Requirements
Degree required: PhD in Stem Cell Biology, Molecular Biology, Cell Biology or a closely related discipline
Language: English; strong communication skills required
Instruction: English
- Hands-on experience in establishing, maintaining, expanding, and cryopreserving human intestinal organoid cultures
- Proficiency in molecular biology techniques and profiling approaches such as DNA methylation or transcriptomics
- Experience with CRISPR-Cas9 genome editing or related genetic manipulation methods
- Basic knowledge and practical experience in bioinformatic analysis
- Strong organizational and interpersonal skills for collaborative and independent research
- Must hold a PhD in a relevant discipline for appointment at Research Associate level
Funding & terms
How to apply
Deadline: 2026-11-08
Access the external application portal via the provided link and submit all requested documentation before the closing date.
- CV
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