Postdoctoral Research Scientist - Generative AI & Digital Twins

Earlham Institute; Norwich; Presencial; GBP 39.000 - 47.000; Jornada completa

Descripción de la vacante

The Earlham Institute in Norwich, UK invites applications for an AI/ML Postdoctoral Research Scientist to advance GenAI/ML methods within a Chan Zuckerberg Initiative-funded collaboration on rare-disease Digital Twins.

You will develop models for biological representation learning, multi-omics imputation and perturbation-response prediction, and contribute to hybrid mechanistic-AI modelling alongside a cross-disciplinary team.

Formación

• Excellent Python and modern deep-learning skills.
• Experience developing AI/ML methods in research settings.
• Background in AI/ML, computer science or quantitative disciplines.

Responsabilidades

• Develop models for biological representation learning, multi-omics imputation and perturbation-response prediction.
• Develop hybrid mechanistic-AI modelling connecting learned representations to executable models.
• Collaborate across interdisciplinary team and wider rare-disease modelling community.

Conocimientos

Python

Deep learning

AI/ML methods

Descripción del empleo

Applications are invited for an AI/ML Postdoctoral Research Scientist to join Dr Rahuman Sheriff's AI-integrated Digital Twins Group at the Earlham Institute, based in Norwich, UK.

Background

The post is part of a Chan Zuckerberg Initiative-funded collaboration between Earlham Institute, Open Targets and EMBL-European Bioinformatics Institute, developing open-source hybrid Digital Twins for rare diseases The programme uses large-scale biological data and mechanistic simulations to address the scarcity and sparsity of rare-disease patient data, and integrates GenAI, other ML approaches and executable mechanistic models. It is co-led by Dr Rahuman Sheriff, Ellen McDonagh (Open Targets/EMBL-EBI) and Evangelia Petsalaki (EMBL-EBI).

The role

You will continue and advance the programme's GenAI/ML methodology, developing models for biological representation learning, multi-omics imputation and perturbation-response prediction. Potential approaches include generative models, transformers, VAEs, multimodal architectures, transfer learning and biological foundation models where scientifically appropriate.

A major focus will be hybrid mechanistic-AI modelling. You will work with the Mechanistic Modeller and Computational Biologist to 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 CZI programme is co-led by Dr Rahuman, Ellen McDonagh (Open Targets/EMBL-EBI), whose expertise includes rare-disease genetics, pharmacogenomics, target prioritisation and data integration, and Evangelia Petsalaki (EMBL-EBI), whose research includes context-specific cell signalling, causal and phenotype-specific network inference and machine learning. The post holder will work across this interdisciplinary collaboration and with the wider rare-disease and modelling communities

We may consider appointing candidates that can operate at a higher level and salary, providing they meet the outlined criteria for the senior position.

The ideal candidate

You will have excellent Python and modern deep-learning skills and practical experience developing AI/ML methods. We welcome candidates from AI/ML, computer science and quantitative disciplines as well as 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 a higher grade, the postholder must be able to take greater intellectual and operational leadership of a defined AI/ML methodology workstream. We expect evidence of methodological independence, leadership of substantial research outputs and the ability to lead a defined AI/ML workstream with limited supervision.

Additional information

This is a full-time post for a contract of 2 years, with the possibility for extension depending on funding.

Salary on appointment will be within the range £39,000 to £46,500 per annum depending on qualifications and experience. A starting salary of £40,100 is guaranteed for candidates who can evidence their PhD certificate at appointment; those awaiting confirmation of their PhD award will be appointed at £39,000 until evidence is provided.

This role meets the criteria for a visa application.

As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.

The closing date for applications will be 6 December 2026.