Senior AI Scientist — Genomic Medicine & EHR Analytics

Economics Network; Southampton; Hybrid; GBP 65,000 - 85,000; Full time

Benefits offered by this job

Generous holiday allowances

Pension scheme membership

Flexible and part‑time working options

Access to subsidised campus facilities

Job summary

University of Southampton invites applications for a full‑time Senior Research Fellow in AI Applied to Genomic Medicine at the Southampton General Hospital site. You will lead translational research to integrate clinical and genomic data, employing open‑source LLMs to extract structured findings from EHRs and harmonise with ontologies.

You will manage researchers, develop reproducible pipelines on HPC, and contribute to education in genomic data science for clinicians and academics.

Qualifications

• PhD in health informatics, bioinformatics, genomics, computational biology, data science, or closely related field.
• Experience integrating genomic data with structured clinical/phenotypic data and familiarity with clinical ontologies such as HPO, SNOMED CT and ICD-10.
• Hands‑on experience with open‑source LLMs, EHR data extraction, high‑throughput sequencing data analysis, and bioinformatics workflows used in research/diagnostic settings.
• Strong programming skills (Python, R, Perl, C/C++, Bash) and Linux proficiency.
• Experience with ontology management software.
• Experience with data governance for handling sensitive EHR, genomic and clinical data.
• Excellent communication, collaboration across disciplines, and ability to publish first author.
• Proven ability to conduct independent research and manage competing demands.

Responsibilities

• Lead a project to extract structured clinical findings from EHRs using open‑source LLMs and harmonise findings to clinical ontologies.
• Drive translational research integrating clinical and genomic data to advance personalised diagnostics.
• Develop and maintain robust, reproducible LLM‑based pipelines using workflow systems and HPC platforms.
• Produce high‑quality research outputs advancing diagnostic genomics and build your research profile.
• Contribute to design and delivery of education and training in genomic data science for academia and clinicians.
• Manage early career researchers in project planning and delivery.
• Collaborate with multidisciplinary teams across genomics, medicine, data science and software infrastructure.

Skills

EHR data extraction

Open‑source LLMs

High‑throughput sequencing data

Bioinformatics workflows

Programming (Python, R, Perl, C/C++, B

Ontology management

Data governance

Communication

Independent research

First-author publications

Education

PhD in health informatics, bioinformatics, genomics, computational biology, data science, or related field

Tools

Linux

HPC/workflow systems

Job description

University of Southampton invites applications for a full‑time Senior Research Fellow in AI Applied to Genomic Medicine at the Southampton General Hospital site. You will lead translational research to integrate clinical and genomic data, employing open‑source LLMs to extract structured findings from EHRs and harmonise with ontologies.

You will manage researchers, develop reproducible pipelines on HPC, and contribute to education in genomic data science for clinicians and academics.