The Faculty of Medicine's Genomic Informatics Group seeks a fixed-term, full-time senior research fellow in AI for genomic diagnostics. The role leads translational work on autoimmune disease, extracting clinical findings from health records with open-source language models and linking them to genomic data. It sits in a multidisciplinary team using the IRIDIS compute platform and NIHR research links, and includes managing early career researchers. A PhD and first-author publications are required, along with a standard DBS check.
What the job involves
- Lead a project extracting structured clinical findings from EHRs using open-source LLMs and harmonising them to clinical 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 workflow systems and high-performance computing platforms
- Produce rigorous, high-quality research outputs that advance applied genomic diagnostics
- Contribute to the design and delivery of education and training in genomic data science for academic and clinical audiences
- Manage early career researchers in planning and delivering project objectives
- Collaborate with local and international colleagues across genomics, clinical medicine, data science, statistics, software engineering and compute infrastructure
What’s required
Qualifications
- PhD in health informatics, bioinformatics, genomics, computational biology, data science or a closely related field
Experience
- Extensive experience integrating genomic data with structured clinical or phenotypic data
- Extensive hands-on experience with open-source LLMs, EHR data extraction, high-throughput sequencing analysis and bioinformatics workflows in research and/or diagnostic settings
- Proven ability to publish original research as first author
- Proven ability to conduct research, work independently and manage competing demands
Skills & knowledge
- Familiarity with clinical ontologies such as HPO, SNOMED CT and ICD-10
- Experience with ontology management software
- Strong programming skills in languages such as Python, R, Perl, C/C++ or Bash
- Confidence working across Linux and other operating systems
- Experience with data governance for sensitive EHR, genomic and clinical data
- Excellent communication and interpersonal skills across disciplines and with diverse stakeholders
Checks & eligibility
- Standard DBS check
What’s offered
- Generous holiday allowance
- Pension scheme membership
- Flexible and part-time working options
- Access to subsidised campus facilities
- Access to high-performance computing and secure data environments
- Professional development and mentoring
- Opportunities to work with national partners such as NHS Genomic Medicine Service and Genomics England
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Contact Details:
The Methodist Church in Britain Recruitment Team
