Research Associate in Functional Genomics

Company: Imperial College London
Apply for the Research Associate in Functional Genomics
Location: London
Job Description:

Overview

In this role, you will advance kidney development research by building iPSC-derived kidney and ureteric bud organoids and applying cutting-edge genomic tools. You will contribute to a newly established Renal Genomics group funded by MRC and Kidney Research UK, aligning your work with our mission to understand CAKUT and kidney failure in children. You will drive mechanistic hypotheses through collaborations with bioinformaticians and clinicians, translating findings into publishable science. This position offers training in stem cell and organoid methods, as well as opportunities to shape independent projects. You will work at a renowned institute within Imperial College London, contributing,

Pay / Benefits

  • sector-leading salary
  • 41 days off per year
  • generous pension schemes
  • career development support
  • training in wet and dry lab approaches
  • diverse and collaborative culture

Responsibilities

  • Establish and run iPSC-derived kidney and ureteric bud organoid models
  • Apply CRISPR interference to perturb candidate cis-regulatory elements
  • Profile consequences using single-nucleus multiomics, CUT&RUN and low-input chromosome conformation capture
  • Collaborate with bioinformaticians and clinicians to test mechanistic hypotheses
  • Publish in peer-reviewed journals and present at conferences
  • Develop independent research ideas within the lab’s core focus
  • Engage in advanced training in stem cells and kidney organoid models
  • Drive project progress and contribute to team research goals

Key requirements

  • PhD in a relevant biology field
  • Experience of mammalian cell culture
  • Strong molecular biology skills
  • Interest in kidney development and disease
  • Collaborative mindset
  • Initiative and self-motivation
  • Strong communication and teamwork
  • iPSC-derived organoid modelling
  • CRISPR interference
  • Single-nucleus multiomics

…

Posted: September 17th, 2026