The University of Birmingham has committed to create world-leading bioinformatics capacity and expertise with the creation of three prestigious bioinformatics chair-level positions.
The Bioinformatics Chairs are supported by a dedicated and creative team of bioinformatics research fellows, IT and administrative support staff. The CCB team works closely, drawing from their individual strengths and areas of interest to create a well-rounded knowledge base. The CCB team collaborates with University and external researchers, supporting them in their work. The CCB team has built strong links with bioinformaticians and related academics across the University, forming a network of working relationships, and building the CCB Community.
The CCB is a dynamic centre; with new opportunities at all levels. We are currently looking to fill roles directly supporting the Chairs, as well as in teaching, research, bioinformatics, and administration.
If you’re interested in bringing your expertise to the CCB team, please send us an email.
Research Fellow (Statistical Computing) – 81915
As part of the Gkoutos Group, lead the development of novel statistical and AI approaches for the analysis of multimodal medical information residing in clinical and biomedical resources in close collaboration with domain experts. Play a vital role in leading a strategically important Health Data Research (HDR) UK theme whilst working closely with the Alan Turing Institute. The post holder will be responsible for the development of innovative analytical approaches for the discovery of novel endotypes, patterns, and knowledge from patients’ health data held in clinical and biomedical environments. … apply now
Research Fellow (AI & Neural Network Design) – 81917
Situated within the Institute of Translational Medicine and the Centre for Computational Biology, join the Gkoutos group and lead the design, development, and application of novel state-of-the-art neural networks to clinical and biomedical challenges. Work within the Alan Turing Institute whilst in close collaboration with Health Data Research (HDR) UK, as they address the most pressing health research challenges in the UK … apply now
Research Fellow (Network-based Machine Learning and Graph-based Algorithms) – 81918
Play an integral role in leading the development and application of novel state-of-the-art network-based machine learning and graph theory algorithms with networks from heterogeneous clinical and biomedical datasets in close collaboration with domain experts. Working within the Gkoutos group, the post holder will be a part of the Health Data Research (HDR) UK, situated within the Institute for Translational Medicine and the Centre for Computational Biology … apply now
Research Fellow (Machine Learning for Cancer) - 80819
Join the new Alan Turing Institute group in Machine Learning for Cancer. Work with selected collaborators, drawn from the large base of internationally recognised research experts from across the Alan Turing Institute network, to design and implement computational statistical methodologies; advancing our understanding of cancer biology. Use computational skills to implement statistical algorithms using modern computer programming languages and to use these to analyse data sets and interpret the results.... apply now
Research Fellow (Population Diversity at Varying Scales) - 81808
Embedded within the group led by Prof Jean-Baptiste Cazier, Director of the Centre for Computational Biology, work with selected collaborators, drawn from the large base of internationally recognised research experts from across the Alan Turing Institute network. Design and implement computational statistical and mathematical methodologies; advancing our understanding of Population-based biomedical research. Use mathematical, statistical and computational modelling skills to make use of complex biomedical datasets, both quantitative and qualitative. Use computational skills to implement mathematical and statistical algorithms using modern computer programming languages and use these to analyse data sets and interpret the results … apply now.
Research Fellow (Bioinformatics) - 81362
Play a pivotal role in enabling research to ‘Improve outcomes for patients with Poor Risk Acute Myeloid Leukaemia’ under the supervision of Prof Jean-Baptiste Cazier, at the Centre for Computational Biology (CCB). Select and implement optimal integrative mathematical framework, tools, and approaches for the project. Be specifically responsible for the analysis and integration of Acute Myeloid Leukaemia (AML) data generated by the CRUK programme led by Prof Jude Fitzgibbon, Queen Mary University of London, in collaboration with numerous prestigious institutions … apply now.