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Earlham Institute
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Postdoctoral Research Scientist in Generative AI and Digital Twins for Rare Diseases Earlham Institute in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time fixed-term employment for two years, with possible extension depending on funding. The advertised salary is £47,450–£58,000 per annum depending on qualifications and experience; the detailed appointment information states a range of £39,000–£46,500, with a starting salary of £40,100 guaranteed for candidates able to evidence their PhD certificate and £39,000 for candidates awaiting confirmation of the PhD award.
Deadline
Dec 6, 2026
Country
United Kingdom
University
Earlham Institute
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About this position
The Earlham Institute is seeking a Postdoctoral Research Scientist in Generative AI and Digital Twins to join Dr Rahuman Sheriff’s AI-integrated Digital Twins Group in Norwich, United Kingdom.
The position is part of a Chan Zuckerberg Initiative-funded collaboration involving the Earlham Institute, Open Targets and the EMBL-European Bioinformatics Institute. The programme is developing open-source hybrid Digital Twins for rare diseases, using large-scale biological data and mechanistic simulations to address the scarcity and sparsity of rare-disease patient data.
The postdoctoral researcher will advance generative AI and machine-learning methodology for biological representation learning, multi-omics imputation and perturbation-response prediction. Potential approaches include generative models, transformers, variational autoencoders, multimodal architectures, transfer learning and biological foundation models.
A central theme is hybrid mechanistic-AI modelling. Working with a Mechanistic Modeller and Computational Biologist, the researcher will connect learned representations and predictions with executable models, use mechanistic simulations for training or validation, and develop uncertainty-aware, robust and biologically meaningful prediction systems for rare-disease Digital Twins.
The interdisciplinary programme is co-led by Dr Rahuman Sheriff, Ellen McDonagh and Evangelia Petsalaki. Their complementary expertise spans rare-disease genetics, pharmacogenomics, target prioritisation, data integration, context-specific cell signalling, causal inference, phenotype-specific network inference and machine learning. The post holder will collaborate across these teams and with the wider rare-disease and modelling communities.
Funding details
Full-time fixed-term employment for two years, with possible extension depending on funding. The advertised salary is £47,450–£58,000 per annum depending on qualifications and experience; the detailed appointment information states a range of £39,000–£46,500, with a starting salary of £40,100 guaranteed for candidates able to evidence their PhD certificate and £39,000 for candidates awaiting confirmation of the PhD award.
What's required
Applicants should hold a PhD, or provide evidence of the PhD certificate at appointment for the guaranteed higher starting salary. Candidates should have excellent Python and modern deep-learning skills and practical experience developing AI/ML methods. Applicants may come from AI/ML, computer science, quantitative disciplines or computational biology; biological-data experience is advantageous, but strong AI/ML candidates motivated to work on biological problems are encouraged to apply. For appointment at the higher grade, candidates must demonstrate methodological independence, leadership of substantial research outputs and the ability to lead a defined AI/ML workstream with limited supervision.
How to apply
Apply through the Earlham Institute jobs website at http://jobs.earlham.ac.uk/. Quote reference 1006215. Contact the Human Resources team for application or visa questions.
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