Senior Research Fellow in AI applied to Genomic Medicine in Southampton

Senior Research Fellow in AI applied to Genomic Medicine

The Faculty of Medicine Genomic Informatics Group invites applications for a full-time, fixed-term Senior Research Fellow position in AI Applied to Genomic Medicine. Based at the University Hospital Southampton site, you will work within a multidisciplinary team of genomic informaticians, clinicians and data scientists, leading translational research to improve genomic diagnostics for common autoimmune disease through advanced clinical and genomic data integration.

As a Senior Research Fellow, you will:

• Lead a project to extract structured clinical findings from electronic health records (EHRs) using open-source large language models (LLMs) and harmonise findings to clinically relevant ontologies (in line with previously published research ).
• Drive translational research integrating clinical and genomic data to advance personalised diagnostics for common autoimmune disease.
• Develop, implement and maintain robust, reproducible LLM-based pipelines, using modern workflow systems and high‑performance computing platforms.
• Produce rigorous, high‑quality research outputs that advance applied genomic diagnostics and build your growing research profile.
• Contribute to the design and delivery of education and training in genomic data science for academic and clinical audiences.
• Effectively manage early career researchers in the planning and delivery of project objectives.
• Collaborate with local and international multidisciplinary colleagues across genomics, clinical medicine, data science, statistics, software engineering and compute infrastructure to deliver impactful research and project objectives.
• A PhD in health informatics, bioinformatics, genomics, computational biology, data science, or a closely related field.
• Extensive experience integrating genomic data with structured clinical or phenotypic data, and familiarity with clinical ontologies such as HPO, SNOMED CT and ICD-10
• Extensive hands‑on experience with using open-source large language models, EHR data extraction, high‑throughput sequencing data analysis, and bioinformatics workflows used in research and/or diagnostic settings.
• Strong programming skills (e.g., Python, R, Perl, C/C++, Bash) and confidence working across Linux and other operating systems.
• Experience with ontology management software.
• Experience with data governance for handling sensitive EHR, genomic, and clinical data.
• Excellent communication and interpersonal skills, enabling you to collaborate effectively across disciplines and convey complex concepts to diverse stakeholders.
• Proven ability to conduct research, work independently, and manage competing demands across projects.
• Proven ability to publish original research as a first author.

At Southampton, you will be part of a world-class research environment with access to facilities, expertise and professional development opportunities. We can offer:

• Access to cutting‑edge technologies, high‑performance computing and secure data environments across academic and NHS settings.
• Opportunities to work with national partners such as NHS Genomic Medicine Service, Genomics England, Health Data Research Service secure data environments, Biomedical Research Centres and population‑scale datasets.
• A multidisciplinary research community with links across medicine, computational sciences, and translational research.
• Professional development, mentoring, and opportunities to build research independence.
• A supportive and inclusive working environment committed to equality and diversity, including Athena SWAN principles.
• A competitive benefits package, including generous holiday allowances, pension scheme membership, flexible and part‑time working options, and access to subsidised campus facilities.

*A standard DBS check is required for this role.

As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.

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