Job Description

We are seeking to appoint a new Bioinformatician to perform cutting-edge research into genome regulation and identification of novel therapeutic targets for rare disease.

You will be motivated by the power of genomics to inform rare disease diagnosis and excited by the promise of genome-targeted therapies for the treatment of rare disease. You will lead analysis of large-scale 'omics datasets, including genomic sequencing (e.g. Genomics England and UK Biobank), RNA-sequencing, and ribosome profiling data to develop new insights, uncover novel rare disease diagnoses, and identify new therapeutic targets.

You will join the Computational Rare Disease Genomics Team, who collectively use computational genomics to understand mechanisms underlying rare human disease to enhance diagnosis and treatment. We have a highly collaborative, open-science approach. We have a strong commitment within the group to both personal and professional development, and you will be encouraged to develop your own ideas, attend scientific seminars and conferences, and build your research profile. This project represents an exciting opportunity to work in a highly collaborative research environment, interfacing with the new MRC centre of research excellence in Therapeutic Genomics.

You will be responsible for performing detailed analysis of large genomic datasets, including data processing, statistical analyses, interpretation and presentation. Where appropriate, you will develop novel analytical and statistical approaches. You will take responsibility for day-to-day management and development of the research project, keep up-to-date with the scientific literature relevant to the role and project, write research articles and project reports, and give seminars/research talks to disseminate your research findings

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It is essential that you currently hold a degree in a related field (e.g. genomics, statistics, bioinformatics), with substantial experience relevant to the role (such as additional research experience in biostatistics, mathematics, statistics, computing, or a related subject). You will also have demonstrable experience, ability, and practical success in genetics, biostatistics, and/or bioinformatics. You will be proficient in the use of programming languages, for example R or Python, and have excellent communication skills, including the ability to write for publications, create figures reflecting data analyses, present research both to the research group and at external meetings and conferences.

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 36 months and is funded by Wellcome.

Only applications received before 12 midday on 28 August 2025 will be considered. Please quote

180371

on all correspondence.

Informal enquiries are welcomed and can be addressed to Nicky Whiffin at nicola.whiffin@well.ox.ac.uk.