Senior Research Fellow in AI Applied to Genomic Medicine
Drive translational AI and genomic research to advance personalised diagnostics for autoimmune diseases at the University of Southampton.
Best for:Best for experienced computational biologists or bioinformaticians with a strong background in large language models, clinical data integration, and genomic research.
Overview
The Faculty of Medicine Genomic Informatics Group at the University of Southampton invites applications for a full-time Senior Research Fellow to lead AI-driven genomic and clinical data integration projects. Based at University Hospital Southampton, the successful candidate will work within a multidisciplinary team to extract structured clinical findings from electronic health records using open-source large language models. The role involves developing reproducible pipelines, managing early career researchers, and collaborating with national and international partners to improve genomic diagnostics. The appointment is fixed-term until August 31, 2029, offering a dynamic environment bridging academic research and NHS settings.
What you'll do
- Lead a project extracting structured clinical findings from electronic health records using open-source large language models and align findings with clinical ontologies.
- Drive translational research combining clinical and genomic datasets to improve personalised diagnostics for common autoimmune diseases.
- Design, implement, and maintain scalable, reproducible LLM-based workflows utilising high-performance computing platforms.
- Generate high-quality academic publications and research outputs to advance applied genomic diagnostics.
- Contribute to the creation and delivery of educational and training programs in genomic data science for academic and clinical stakeholders.
- Supervise, mentor, and guide early-career researchers in planning and executing project tasks.
- Partner with multidisciplinary colleagues across genomics, clinical medicine, software engineering, and compute infrastructure.
Requirements
Degree required: PhD in health informatics, bioinformatics, genomics, computational biology, data science, or a closely related field.
Language: English; excellent written and verbal communication skills
Instruction: English
Publications: Proven ability to publish original research as a first author
- Extensive experience integrating genomic data with structured clinical or phenotypic data
- Hands-on proficiency with open-source large language models and electronic health record data extraction
- Proficiency in high-throughput sequencing data analysis and bioinformatics workflows
- Strong programming capabilities in Python, R, Perl, C/C++, or Bash across Linux environments
- Familiarity with clinical ontologies such as HPO, SNOMED CT, and ICD-10
- Experience with data governance and handling sensitive clinical and genomic data
- Proven track record of publishing original research as a first author
- Standard DBS check required for the role
Funding & terms
How to apply
Deadline: 2026-11-18
Interested candidates should submit their application through the university's online recruitment portal by the specified deadline. Ensure all required documentation including CV and supporting statements are uploaded. For informal inquiries, contact the designated departmental email address provided.
- CV
- Job Description and Person Specification response
Contact
S Ennis
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