Research Fellow

1000scholars; Birmingham; Hybrid; GBP 37,000 - 47,000; Full time

Job summary

University of Birmingham is seeking a Research Fellow in AI and health data science to join CERJ and the Centre for Health Data Science. The role focuses on agentic AI, deploying large models, building knowledge bases, and developing RAG pipelines for clinical decision support.

You will curate and analyse diverse clinical datasets, collaborate across disciplines, and contribute to EU-funded projects such as PARC. Fixed-term contract up to November 2027 with competitive salary.

Qualifications

• PhD (or near completion) in Computer Science or a field relevant to medical AI.
• Experience with agentic AI, multi-agent systems, multimodal modelling.
• Ability to develop agentic AI systems and deploy large models in local environments.
• Coordinate work with others and write concise scientific papers.

Responsibilities

• Develop agentic AI systems to coordinate workflows and tools for clinical needs.
• Deploy and operate large models (LLMs/VLMs) in on-prem/offline computing environments.
• Develop knowledge bases capturing clinical guidelines for LLM extension.
• Develop RAG pipelines and agentic AI systems for clinical retrieval and decision support.
• Develop and evaluate cutting-edge AI approaches for medical applications.
• Curate and analyse clinical/biomedical datasets from multiple modalities.

Skills

Agentic AI

Multi-agent systems

Multimodal modelling

Clinical data analysis

Knowledge bases

Data security

Education

PhD in CS or related

Job description

# Research FellowUniversity of BirminghamBirmingham, United KingdomResearcher / ScientistData Science6 days left## About the position**Salary:** Full-time starting salary is normally in the range £37,369.00 to £46,970, with potential progression once in post to £49,798Contract Type: Fixed Term Contract up to November 2027BackgroundWe are seeking an enthusiastic and innovative Research Fellow to join the Centre for Environmental Research and Justice (CERJ) and the Centre for Health Data Science at the Medical School University of Birmingham. You will be working in a vibrant, interdisciplinary research ecosystem, driving cutting-edge research at the intersection of human health and health data Science. This exciting role offers the opportunity to contribute to major EU-funded research programmes, including PARC (Partnership for the Assessment of Risks from Chemicals).Role Summary* Develop agentic AI systems to coordinate workflows and computational tools according to different clinical needs, patient presentations, and care pathways.* Deploy and operate large models (LLMs/VLMs) and other foundation models in local or on-premises computing environments to support data security and patient confidentiality.* Develop knowledge bases that capture clinical guidelines and domain knowledge to extend the capabilities of general-purpose large models for clinical applications.* Develop retrieval-augmented generation (RAG) pipelines and agentic AI systems for clinical knowledge retrieval, reasoning, and decision support.* Develop and evaluate cutting-edge AI approaches (e.g., multimodal and multi-agent techniques) for medical applications.* Curate, integrate, preprocess, and analyse biological and medical data sets from a variety of modalities and data origins and apply cutting edge semantic technologies for their integration.* Manipulate, integrate, and analyse small and large clinical and biomedical databases.Person Specification or Required Knowledge, Skills, Qualifications, Experience* PhD (or near completion) in Computer Science or a field relevant to medical AI.* Fluency in relevant models, techniques or methods and ability to contribute to developing new ones.* Co-ordinate own work with others to avoid conflict or duplication of effort.* Experience in medical AI, including agentic AI, multi-agent systems, and multimodal modelling and analysis.* Ability to:* develop agentic AI systems for medical or clinical applications;* deploy large models (LLMs/VLMs) in local or on-premises computing environments;* curate, integrate, preprocess, and analyse clinical data from different modalities (e.g., electronic health records, physiological signals, and imaging);* build and maintain clinical knowledge bases to extend the capabilities of general-purpose large models for clinical applications;* develop retrieval-augmented generation (RAG) systems for clinical and agentic AI applications;* demonstrate an understanding of both science and informatics;* innovate and develop ideas into grant proposals;* write concise and timely scientific papers and reports; and* plan and prioritise work effectively to meet deadlines.To download the full job description and details of this position and submit an electronic application online please click on the Apply Online button:Informal enquiries to Georgios Gkoutos, email: [e-mail] excellence, sustaining investment We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.Closing date: 12/11/2026 23:59£37,369 to £46,970. Grade 7This listing was collected from a public source and is reproduced here forinformation only. Always confirm the details on the original posting before applying. View the original postingApply on the source siteTakes you to University of Birmingham.Deadline: 12 Nov 2026Duration: Full Time, Fixed-Term/ContractPosted: 05 Nov 2026Institution: University of BirminghamLocation: Birmingham, United KingdomSalary: GBP 37,369 to 46,970 / yearContact: [e-mail]