Your primary responsibilities will include analysis of data arising from the programme including host genomic sequencing data, pathogen metagenomics. You will apply computational and statistical methodologies and develop code and informatics resources to support the analysis and integration of large datasets. You will manage your own academic research and associated activities, contribute ideas for new research projects and funding opportunities, and contribute to scientific publications and presentations. Working collaboratively with academic, NHS and industry partners, you will contribute to the development of genomic data use within patient care pathways.

 

It is essential that you hold, or be close to completion of, a PhD/DPhil in Genetics, Genomics, Statistical Genetics, Bioinformatics, Statistics, Mathematics and Physics, Computer Science or a related discipline, and possess sufficient specialist knowledge to work within an established research programme. You will have research experience in genomics, including analysis of high throughput data and its application to functional genomics, and demonstrated competence in scientific computing using at least one programming language. You will have excellent analytical and quantitative skills, with the ability to think critically about scientific analyses to ensure robust results, together with evidence of problem-solving, accuracy, self-motivation and integrity. You will also have experience of contributing to research proposals and presentations, the ability to contribute ideas for new research projects and research income generation, and excellent communication and organisational skills, including the ability to write for publication, present research proposals and results, represent the research group at meetings, and deliver work to the required standard and agreed schedule.

 

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 until 31 March 2028 and is funded by the NHS.

 

Only applications received before 12 midday on 13 October 2026 will be considered. Please quote 186720 on all correspondence.

 

 

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; leading 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 Thursday 29 October 2026 will be considered. Please quote 187206 on all correspondence.