Research Fellow in Spatial Transcriptomics
Your next career opportunity
You will lead computational analyses of single-cell and spatial transcriptomics data in abnormal uterine bleeding research.
You will collaborate closely with US-based clinicians and experimentalists to translate discoveries into potential therapeutic and diagnostic targets.
What you will deliver:
- Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium.
- Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments.
- Coordinate data generation with clinical and experimental partners, including study design, batch allocation and result interpretation.
- Prepare high-quality figures, reports, manuscripts and funder outputs, and present findings at seminars and conferences.
- Contribute to student supervision, mentoring and School activities that support diversity, inclusion and public engagement.
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