We are seeking a Postdoctoral Scientist to lead cutting-edge research into biomarkers disease mechanisms to enhance therapeutic development for RNUopathies, including ReNU syndrome. Based within the Big Data Institute (BDI) and the Institute of Developmental & Regenerative Medicine (IDRM), you will join a multidisciplinary team investigating therapeutic approaches for rare neurodevelopmental disorders caused by variants in small nuclear RNA (snRNA) genes.
You will lead bioinformatic and statistical analysis of large-scale genomic and transcriptomic datasets from human samples, cell lines, and mouse models; developing and implementing novel analytical approaches where appropriate; managing and advancing the research project; collaborating with internal and external researchers; contributing to the supervision of MSc and PhD students; maintaining high standards of data quality, integrity, and documentation; disseminating findings through publications, presentations, and conferences; engaging with patient advocacy groups; and supporting public engagement and outreach activities. This is an exciting opportunity to contribute to pioneering rare disease research within a highly collaborative environment and to develop your own scientific profile within a world-leading therapeutic genomics programme.
It is essential that you have a PhD/DPhil (or are close to completion) in a relevant field such as genomics, genetics, bioinformatics, biostatistics, statistics together with a track record of contributing to peer-reviewed publications and presenting research findings at seminars, conferences, and scientific meetings. Proficiency in programming languages such as R and/or Python is required, alongside the ability to independently manage day-to-day research activities, take ownership of projects, and deliver high-quality outputs to agreed deadlines. You should have experience working collaboratively within multidisciplinary teams and possess excellent written and verbal communication skills, including the ability to prepare publications, create clear and informative data visualisations, and present research to both specialist and non-specialist audiences.
Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.
This position is offered full time on a fixed term contract for two years.
Only applications received before 12 midday on Friday 7 August 2026 will be considered. Please quote 187206 on all correspondence.
