Research Fellow / Senior Research Fellow in Translational Genomic Informatics

The Faculty of Medicine Genomic Informatics Group invites applications for a 3-year full time fixed-term postdoctoral position of Research Fellow or Senior Research Fellow in Genomic Informatics to join our dynamic research environment at the forefront of translational genomics. The appointee will be situated within the Genomic Informatics group which forms part of the Human Development and Health (HDH) School, located at Southampton University Hospital site. Working alongside genomic informaticians, clinicians, and data scientists, you will help drive translational research that has direct impact on patient care through improved diagnostic pipelines, integrative analytics, and data‑driven insight.

As fitting with a Research Fellow or Senior Research Fellow, you will:

• Drive innovative research projects that uplift personalised diagnostics through the integration of high‑throughput genomic sequencing data with structured clinical data from electronic health records.
• Develop, implement and maintain robust, reproducible genomic bioinformatics 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.
• Collaborate closely across disciplines, including genomics, clinical medicine, statistics, software engineering, and compute infrastructure to co‑create impactful research solutions.
• Contribute to the design and delivery of education and training in genomic data science for academic and clinical audiences.
• Supervise postgraduate research and taught students, and provide leadership within a highly collaborative research group.

The appointed individual will work at the interface of University Genomic Informatic Research, high-performance compute infrastructure and clinical stakeholder applications. Dependent on experience, the successful applicant will be appointed as a Research Fellow or Senior Research Fellow. 

You will bring:

• A PhD in bioinformatics, genomics, computational biology, data science, or a closely related field, with significant postdoctoral or professional experience in genomic medicine.
• Extensive hands‑on experience with high‑throughput sequencing data analysis, variant interpretation, and bioinformatics workflows used in research and diagnostic settings.
• Strong programming skills (e.g., R, Python, Perl, C/C++, Bash) and confidence working across Linux and other operating systems.
• Experience integrating genomic data with structured clinical data and familiarity with clinical ontologies (e.g., HPO, SNOMED CT, ICD‑10). 
• A solid understanding of data governance for handling sensitive genomic and clinical data.

At Southampton, you will join a world‑class research environment that champions collaboration, innovation, and interdisciplinary impact. We can offer:

• Access to cutting‑edge genomic technologies, high‑performance computing resources and secure data environments (both academic and NHS).
• Opportunities to work closely with national partners such as NHS Genomic Medicine Service, Genomics England, Health Data Research Service secure data environments, Biomedical Research Centres and large population‑scale datasets.
• Comprehensive professional development, mentoring, and opportunities to build research independence. 

This position is primarily an in-person role based on campus due to the nature of the research, including collaboration with laboratory teams and use of on-site computational resources. We are committed to supporting candidates who may need reasonable adjustments to undertake the on-site aspects of the position.

Please contact Professor Sarah Ennis (S.Ennis@southampton.ac.uk) for informal enquiries.

We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.

Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.