University of Oxford
Bioinformatician
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Company Description
The University of Oxford, ranked number one globally in the 2025 Times Higher Education World Rankings, is a leading institution across medical sciences, mathematical, physical and life sciences, humanities, and social sciences. As the oldest university in the English-speaking world, Oxford combines long-standing traditions of scholarship with a forward-looking, innovative approach to research and education. It is one of Europe’s most entrepreneurial universities, leading the UK in university spin-outs with more than 130 companies created and strong support for social enterprise. Oxford fosters a respectful, inclusive environment that rejects hate speech, discrimination, and harassment, and encourages open, thoughtful discussion. Applicants can learn more about Oxford’s unique academic and social community at www.ox.ac.uk.
Role Description
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This is a temporary (with scope for long term extension), on-site Bioinformatician role based in the Domingos Lab in Oxford. The Bioinformatician will work closely with researchers to design and implement Python-based workflows for single cell and spatial transcriptomic analysis of sympathetic ganglia. Day-to-day activities include analyzing and interpreting complex biological datasets, applying pipelines such as Topometry (Oliveira D et al, eLife, 2026), and generating clear visualizations and portals. The role involves maintaining data quality and documentation, and contributing to publications and presentations. The Bioinformatician will also support the pipelines, ensuring reproducibility and adherence to institutional data governance standards.
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Qualifications
- Strong quantitative and analytical abilities, including skills in Statistics and Data Analysis.
- Experience with single cell Sequencing workflows, and related high-throughput technologies.
- Research skills such as scientific reporting.
- Proficiency in at least one programming or scripting language commonly used in bioinformatics (e.g., Python) as seen on their GitHub profile and familiarity with relevant bioinformatics tools and databases.
- Experience working in Unix/Linux environments and with version control systems (e.g., Git) for reproducible research.
- Excellent written and verbal communication skills, with the ability to explain complex analyses to non-specialist collaborators.
- Ability to work collaboratively in interdisciplinary teams and manage multiple projects to deadlines.
- Advanced degree in Bioinformatics, Computational Biology, Statistics, Genetics, or a related field, or equivalent professional experience.
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