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(Senior) Research Software Engineer- AI integrated Digital Twins of living system

Earlham Institute

Location: Norwich
Salary: £39,000 to £52,560
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th November 2026
Closes: 2nd December 2026
Job Ref: 1006211

Applications are invited for a Research Software Engineer (SC6) or Senior Research Software Engineer (SC5) to join Dr Rahuman Sheriff's AI Integrated Digital Twins Group in the Research Faculty of the Earlham Institute, Norwich, UK.

Background:

The group develops systems biology models and biological Digital Twins that combine mechanistic modelling, AI/ML and high-dimensional biological data. These approaches require robust software to connect heterogeneous models and datasets with simulation, AI model training and inference, optimisation, model serving and scalable computing.

The position is core funded and will support the group's research programme while collaborating with EI's research e-infrastructure and computational and biological research teams. A key element will be maintaining and developing BioModels, extending its infrastructure for emerging computational modelling, AI/ML and Digital Twin applications.

The role:

We seek a research-focused software engineer with a strong interest in AI/ML to design and build reusable infrastructure for biological Digital Twins. You will integrate mechanistic simulators, AI/ML models, omics and multimodal datasets, inference and optimisation tools, and HPC/GPU/cloud resources into robust, reproducible scientific workflows. This role includes significant hands-on AI/ML model implementation and engineering.

Responsibilities include software architecture, Python libraries and APIs, AI/ML training and inference pipelines, model serving, workflow execution, provenance, containers, testing, CI/CD, performance optimisation and open-source releases. You will work with scientists developing novel AI/ML and hybrid mechanistic-AI methods, helping transform research prototypes into scalable tools. You will also contribute to the BioModels repository, maintaining services and developing APIs and execution workflows, including secure online execution of computational and AI/ML models using cloud, HPC and GPU resources.

The ideal candidate:

You will have strong software engineering and Python skills, experience building scientific, AI or data-intensive software, and knowledge of testing, version control and documentation. Experience with ML frameworks, HPC/GPU environments, cloud deployment, model serving, scientific modelling, workflow systems, FAIR standards or production scientific platforms would be advantageous.

Appointment will be made at SC6 or SC5 according to experience and evidence against the published criteria. SC5 candidates should also demonstrate ownership of software architecture, technical leadership, engineering standards and mentoring experience.

Additional information:

This is a full-time post for 2 years, with the possibility of extension subject to funding.

Salary on appointment will be within the range £39,000 to £46,500 per annum depending on qualifications and experience for the SC6 level post, and £47,450 to £52,560 per annum for candidates who meet the SC5 level criteria. 

Depending on the level of the appointment, this role may not meet the full salary requirements set by UKVI to allow for Skilled Worker visa sponsorship. However, some individuals may still be eligible for visa sponsorship depending on their personal circumstances. If you require visa sponsorship, please visit the GOV.uk website to find out if you qualify before applying. Please note, the occupation code for this role is 2134, which is not on the immigration salary list.

For further information and details of how to apply, please click the 'Apply' button above or contact the Human Resources team on 01603 450814 or nbi.recruitment@nbi.ac.uk quoting reference 1006211.

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 2 December 2026.

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