Postdoctoral Researcher: Spatial Transcriptomics in ADPKD

Economics Network; Greater London; Hybrid; GBP 39,000 - 43,000; Full time

Benefits offered by this job

Pension scheme

30 days leave

Professional development

Flexible working

Job summary

Queen Mary University of London is seeking a Postdoctoral Research Assistant to lead the bioinformatics framework for a high-impact project analysing murine Autosomal Dominant Polycystic Kidney Disease (ADPKD) using spatial transcriptomics.

The role requires a PhD in a quantitative field, strong R/Python skills, and the ability to drive pipelines independently within a multidisciplinary translational team at WHRI, John Vane Science Centre.

Qualifications

• PhD (or near completion) in bioinformatics/quantitative biology.
• Experience managing spatial/scRNA transcriptomics workflows.
• Proficient in R or Python.
• Ability to drive computational pipelines independently and communicate findings.

Responsibilities

• Lead the bioinformatics framework for a high-impact project.
• Analyse spatial datasets and perform digital microdissection to isolate disease regions.
• Characterise ligand–receptor interactions focusing on epithelial-immune-fibroblast crosstalk after JAK inhibition.

Skills

R

Python

Spatial transcriptomics

scRNA-seq

Education

PhD in Bioinformatics or related field

Tools

10x Genomics Visium

Job description

Queen Mary University of London is seeking a Postdoctoral Research Assistant to lead the bioinformatics framework for a high-impact project analysing murine Autosomal Dominant Polycystic Kidney Disease (ADPKD) using spatial transcriptomics.

The role requires a PhD in a quantitative field, strong R/Python skills, and the ability to drive pipelines independently within a multidisciplinary translational team at WHRI, John Vane Science Centre.