Senior Bioinformatician
The core bioinformatics group at the Gurdon Institute, University of Cambridge is recruiting a Senior Bioinformatician to extend our capabilities in delivering world class research into developmental biology.
Our group supports researchers across the institute in experimental design, analysis and presentation of high throughput data. You will work collaboratively with researchers to develop new scientific understanding and contribute to publications. In addition, and depending on your skills and interests, you may contribute to the development of pipelines to supply researchers with processed data or development of new computational methods applicable to institute research. Computational biology themes within the institute include analysis of whole genome sequencing, RNA-seq, ChIP-seq/CUT&RUN and single-cell multiomics.
Working in a core bioinformatics group in an academic environment comes with a great number of benefits. You will work on diverse projects, utilising your existing skills and acquiring new ones, exploring the full breadth of cutting-edge developmental biology research taking place at the Gurdon Institute. Your work will have a meaningful impact on individuals as well as our research, solving their data analysis problems and helping them to gain skills.
You should have a PhD (or equivalent post-doctoral experience) in computational biology, a sound understanding of molecular biology, and a publication track record in bioinformatics. A high level of proficiency in Python and/or R programming in a Linux environment is essential.
The Gurdon Institute is a world-renowned centre of Developmental biology and Cancer research embedded in the University of Cambridge. It is supported by funding from the Wellcome Trust and Cancer Research UK, and provides an exceptional and stimulating environment that promotes collaborative and interdisciplinary research in a supportive and modern setting, with access to state-of-the-art technologies such as genomics, high-performance computing, super-resolution imaging and single-cell analysis.
Limited funding: The funds for this post are available until November 2026 in the first instance, with the possibility of extension subject to available funding.
Please ensure that you upload a covering letter and CV (including the names of two people who can provide a letter of reference) in the Upload section of the online application. The covering letter should outline your research interests and why you are interested in the post.
If you have any questions about this vacancy or the application process, please contact Adam Reid (ajr236@cam.ac.uk).
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Please quote reference PR41597 on your application and in any correspondence about this vacancy.
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