Job Description

We are seeking to appoint a Bioinformatician to join the Chinese Academy of Medical Sciences Oxford Institute (COI), an exciting collaboration between the University of Oxford and the Chinese Academy of Medical Sciences. This is a unique opportunity to work at the interface of translational systems immunology and cutting-edge multi-omic technologies, helping to uncover how the immune system responds to infection and cancer.

You will play a central role in applying and advancing single-cell and spatial genomics approaches within the COI, supporting multiple research groups working across diverse areas of immune biology. Working as part of a dynamic and multidisciplinary team of bioinformaticians and experimental scientists, you will design, implement and analyse functional genomics projects using state-of-the-art single-cell and multi-omic platforms. You will also provide training, guidance and technical support to researchers within the institute, helping to integrate computational and experimental expertise across projects.

You will be responsible for performing high-quality bioinformatic analyses of single-cell and multi-omic datasets, developing and optimising computational workflows, and maintaining robust pipelines for data management and reproducibility. You will collaborate with wet-lab scientists to design experiments, analyse sequencing data, and interpret complex datasets to uncover novel biological insights. A key part of the role will involve teaching and supporting COI researchers in bioinformatics methods, advising on data analysis strategies, and contributing to scientific manuscripts, presentations and grant applications. You will also help maintain and improve data-analysis standards, manage project timelines, and contribute to the overall research direction of the COI.

It is essential you hold a postgraduate degree in Biostatistics, Mathematics, Computational Biology, Bioinformatics or a related discipline, with proven experience in functional or single-cell genomics. You should have strong analytical and quantitative skills, proficiency in programming languages such as R, Python and Unix, and a track record of delivering reproducible bioinformatic analyses leading to publications in peer-reviewed journals. Experience with molecular biology or genomics laboratory methods will be an advantage, as will familiarity with multi-omic integration approaches. You will be an excellent communicator, able to work effectively in a collaborative, interdisciplinary team, with strong organisational skills and a proactive, problem-solving approach.

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 24 months and is funded by CAMS Core grant.

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

182502