Research Fellow in Spatial Transcriptomics
Core
Lead computational analyses of single-cell and spatial transcriptomics data to identify therapeutic and diagnostic targets for abnormal uterine bleeding.
Role type
Research Fellow (IC)
Builds
Reproducible, version-controlled computational pipelines and high-quality research outputs (manuscripts, figures, reports).
Domain
Reproductive health / Women's health / Spatial genomics
Deliverable
production ML models | research
Required skills
Single-cell RNA-seq analysis, Spatial transcriptomics workflows, High-dimensional statistical modelling, R, Python, Seurat, Scanpy, DESeq2, Version control, Reproducible workflows
Preferred skills
Experience with high-performance computing environments, Academic publication record
Technologies
R, Python, Seurat, Scanpy, DESeq2
Responsibilities
Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets; Develop reproducible, version-controlled pipelines and notebooks; Coordinate data generation with clinical and experimental partners; Prepare high-quality figures, reports, manuscripts and funder outputs; Contribute to student supervision and mentoring.
Seniority
Mid-level Research Fellow
