About us The mission of the UCL GOS Institute of Child Health is to maximise and advocate for the holistic health of all children, young people and the adults they will become, through world-class research, education and public engagement. The UCL GOS ICH, together with its clinical partner Great Ormond Street Hospital for Children, forms the largest concentration of children's health research outside North America. The 2024-29 GOS ICH strategy focuses on its five scientific programmes. GOS ICH's activities include active engagement with children and families, to ensure that our work is relevant and appropriate to their needs. GOS ICH generates the funding for our research by setting out our proposals in high quality applications to public, charitable and industrial funding bodies and disseminates the results of our research by publication in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teaching and life learning programmes which address the needs of students and professional groups who are interested in and undertaking work relevant to child health. GOS ICH holds an Athena SWAN Charter Gold Award.
About the role We are seeking a highly motivated and collaborative scientist with excellent communication skills. You will be working with large, comprehensive pathogen genomic datasets, including state-of-the-art long-read sequence data, and well-curated patient and disease metadata to develop computational models for predicting disease risk (primarily in Mycobacterium tuberculosis infection), identify complex infections, and optimise and develop bioinformatic tools for sequencing data analysis. Your role will involve building and applying advanced statistical models, machine learning techniques, and computational frameworks to address key questions in pathogen biology, transmission and drug resistance. Your work will contribute to the development of clinically relevant insights and inform public health strategies for controlling infectious diseases. The post is funded through the UKRI MRC and is available for three years from 01/01/2026 until 31/12/2028 in the first instance, with the possibility for extension.
About you You must have a PhD (or be near completion) in Computational Biology, Bioinformatics, Molecular Biology, Biostatistics, or related subjects. You must be proficient in NGS sequencing and genomic data analysis, with high-level programming skills in R, Python or similar. You must also demonstrate your ability to communicate well to a multidisciplinary team and write to high standards for impactful publications. Previous experience with bacterial pathogens, machine learning, and computational tool development is desirable. Excellent problem solving and inter-personal abilities are required. You will provide your expertise to the team and will assist us in the development of computational models to predict disease risk from pathogen genomic and patient data, as well as developing and optimising bioinformatic tools for sequencing data analysis and diagnosing complex bacterial infections. This post is great opportunity for career development, and you will have the opportunity to lead your own research projects within the remit of the project, attend national and international conferences, and travel internationally to collaborating groups in USA, Canada, Peru and others.
What we offer As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) • Additional 5 days' annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit to find out more.
Our commitment to Equality, Diversity and Inclusion As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here : If you have any queries regarding the application process, please contact Madhur Sharma on
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