Research Fellow: AI-Driven Clinical Genomics & Health Data

University of Birmingham; Birmingham; On-site; GBP 37,000 - 47,000; Full time

Job summary

University of Birmingham is seeking a Research Fellow in Cancer and Genomic Sciences to develop agentic AI systems for clinical workflows and to deploy large models in secure computing environments. The role spans EU-funded projects, data integration and translational activities within CERJ and Health Data Science.

The successful candidate will contribute to FAIR data practices, publish research, and support bids and training opportunities. Fixed-term for 2 years with potential for extension.

Qualifications

• PhD in Computer Science or a related field.
• Experience in medical AI and agentic AI.
• Ability to develop scalable AI systems for clinical use.
• Strong collaboration and communication skills.

Responsibilities

• Develop models, techniques and methods for AI in clinical contexts.
• Collect and analyse diverse research data.
• Present research outputs at seminars and in publications.
• Develop and apply advanced AI techniques for medical questions.
• Identify new research directions in agentic AI and foundation models.
• Analyse medical data from various modalities and sources.
• Write bids and contribute to funding applications.
• Supervise students and support staff as required.

Skills

Medical AI experience

Team collaboration

Time management

Communication

Education

PhD in Computer Science or related

Tools

Python

C++

Java

SciKit-Learn

Pandas

Job description

University of Birmingham is seeking a Research Fellow in Cancer and Genomic Sciences to develop agentic AI systems for clinical workflows and to deploy large models in secure computing environments. The role spans EU-funded projects, data integration and translational activities within CERJ and Health Data Science.

The successful candidate will contribute to FAIR data practices, publish research, and support bids and training opportunities. Fixed-term for 2 years with potential for extension.