Research Associate in MND Genetics

Company: King's College London
Apply for the Research Associate in MND Genetics
Location: London
Job Description:

Overview

In this role you will perform genomic analyses within the EXPERTS-ALS programme, linking multi-omics and clinical data to uncover genomic markers and disease mechanisms. You will collaborate with wet-lab and bioinformatics teams to generate, analyse, and interpret findings, and contribute to high-profile publications and presentations. The position sits in the UK MND Research Institute within King’s College London and supports a translational trajectory from discovery to clinical testing. You will work under senior researchers and report to the Centre Director, contributing to national and international dissemination. This is a full-time fixed-term role with opportunities for professional/bi

Pay / Benefits

  • professional development leave (10 days/year pro-rata)

Responsibilities

  • Conduct genomic analyses of EXPERTS-ALS and other samples
  • Integrate genomic findings with clinical data, epigenetics, transcriptomics, and proteomics
  • Collaborate with wet-lab and bioinformatics teams to generate, analyse, and interpret results
  • Present findings at national/international conferences and meetings
  • Publish results in peer-reviewed journals
  • Supervise students and junior researchers as needed
  • Maintain up-to-date knowledge of sequencing technologies and analytical methods

Key requirements

  • PhD or equivalent in a relevant subject (e.g., bioinformatics, Genetics)
  • Up to date knowledge of NGS pipelines
  • Experience with large-scale DNA sequencing datasets
  • Developed and applied innovative data analysis methods
  • Experience analysing clinical samples for genomic markers of disease risk, phenotype, and treatment response
  • Proficient in Unix-based systems and programming in Python, Java, Bash, Perl, or R
  • Proven experience supervising students in genetics
  • Publication record commensurate with grade
  • strong communication and collaboration
  • ability to work across wet-lab and bioinformatics teams
  • problem solving and creative thinking
  • NGS pipelines
  • large-scale DNA sequencing data handling
  • Unix-based systems

…

Posted: October 1st, 2026