We have a vacancy for a Clinical Data Coordinator within the SCTU. The successful candidate should have experience of using data collection tools, preferably electronic data capture [EDC], as well as excellent IT skills and be competent using Microsoft Office (experience in AI desirable). Good organisation and communication skills are also essential for managing a busy and varied workload as well as providing updates to relevant project teams.

The position is initially available on a fixed term contract for 12 months due to external trial funding. The salary offered within the range will be based on experience and the University provides generous annual leave and benefits. The role can provide a degree of flexibility with the potential to be entirely office based or allow a proportion of home office working also. Please note that this role is not patient-facing.

This is a hybrid working role, split between campus and remote working. There is a minimum of 3 days per week (pro rata) required in the office, one day to include a Friday.

For an informal discussion please contact Mike Radford (M.J.Radford@soton.ac.uk) or Emma Tilt (E.M.Tilt@soton.ac.uk).

All interviews will be performed in person at the Southampton General Hospital. Please refrain from using AI to generate your application answers.

Closing Date: 03 Dec 2026

Section: Management, Specialist & Administrative

Salary: £31,861 to £36,320 Per annum
Full Time Fixed Term for 12 months

The NIHR Research Support Service (RSS) is a national initiative providing access to research support, advice, design and collaboration, from planning through to delivery for researchers working across the remit of the National Institute for Health and Care Research (NIHR) in England. Our Hub has also been designated as an NIHR RSS Specialist Centre in Public Health.

Our Hub is a collaboration between partner organisations making up a team of highly experienced methodologists, researchers and public health practitioners. The team includes research advisors with expertise in medical statistics, clinical trials, epidemiology, qualitative research, mixed methods, health economics, and public involvement in research. Our partnership includes the Universities of Oxford, Oxford Brookes and Portsmouth, and the local authorities for Hampshire, Oxfordshire, Portsmouth and Southampton. 

About you:

We are seeking a Senior Research Design Advisor with an ability to provide high-quality research design advice and support to investigators applying for research funding (particularly NIHR).

The successful applicant will have expertise in epidemiology and/or qualitative research. Knowledge of one or more the following in a health or social care context would also be desirable: artificial intelligence, neurodivergence, women’s health, climate change, nutrition.

You will possess excellent communication and consultation skills. You will have an understanding of what is required to produce a high-quality research funding application and to deliver a research study successfully.

This role is offered part-time, at either two or three days per week. It is fixed term until 30 September 2028, with a possibility of extension.

The University of Southampton offers a generous holiday allowance as well as additional university closure days. We are open to a flexible working approach.

Potential applicants wishing to discuss the post informally may contact the Director, Professor Issy Reading: i.c.reading@soton.ac.uk

Interviews will be held in-person at Southampton General Hospital on Tuesday 12th January 2027.

Closing Date: 14 Dec 2026

Section: Education, Research & Enterprise

Salary: £46,970 to £59,390 Per Annum, Pro Rata (0.6FTE of Full Time Hours)
Part Time Fixed Term until 30/09/2028 (21 Hours per Week)

As a Research Fellow, you will:

You will have opportunities to develop your expertise in statistical genetics and genetic epidemiology, contribute to innovative analytical approaches and build your publication record within an internationally collaborative research environment. 

You will have:

At Southampton, you will join a supportive, internationally connected research environment at the forefront of genetic epidemiology, data science and metabolic disease research. 

We offer:

For informal enquiries, contact Professor Hanieh Yaghootkar h.yaghootkar@soton.ac.uk

Closing Date: 04 Dec 2026

Section: Education, Research & Enterprise

Salary: £37,369 to £45,641 Per Annum
Full Time Fixed Term until 23/08/2028

The role

As a Research Fellow, you will:

• Develop and apply machine learning approaches to identify distinct subtypes of type 2 diabetes using measures of liver, pancreas, adipose tissue and skeletal muscle health.
• Characterise the clinical, metabolic and genetic profiles of diabetes subtypes and evaluate their reproducibility across populations.
• Conduct genome-wide association studies (GWAS) of organ-health traits and diabetes subtypes, and apply Mendelian randomisation to investigate potential causal relationships.
• Develop and evaluate statistical and machine learning models to predict incident type 2 diabetes and disease progression using genetic and clinical data.
• Analyse large-scale population datasets, including UK Biobank, using robust statistical methods and reproducible computational workflows.
• Contribute to high-quality scientific publications, conference presentations and the dissemination of research findings.
• Collaborate with multidisciplinary researchers across genetic epidemiology, genomics, clinical medicine, imaging, statistics and data science.

You will have opportunities to develop your research expertise, contribute to innovative analytical approaches and build your publication record within an internationally collaborative research environment. 

About you

You will have:

• A PhD in in genetic epidemiology, statistical genetics, biostatistics, data science, computational biology or a closely related discipline.
• Experience analysing large-scale genetic, epidemiological or biomedical datasets, ideally including UK Biobank.
• Strong statistical and computational skills, including proficiency in R and/or Python and experience working in Linux-based computing environments.
• Practical experience conducting GWAS and Mendelian randomisation analyses, including appropriate quality control, sensitivity analyses and interpretation.
• Experience applying machine learning, clustering, predictive modelling or other advanced statistical methods to complex biomedical data.
• An understanding of genetic epidemiology and the application of statistical methods to investigate complex disease mechanisms.
• Evidence of high-quality research outputs, including peer-reviewed publications.
• Excellent analytical, organisational and communication skills, with the ability to work independently and collaboratively within multidisciplinary research teams.
• Experience with metabolic disease research would be advantageous.

What we can offer

At Southampton, you will join a supportive, internationally connected research environment at the forefront of genetic epidemiology, data science and precision medicine. We offer:

• Access to large-scale biomedical datasets, high-performance computing infrastructure and secure analytical environments.
• Opportunities to work at the interface of human genetics, medical imaging, machine learning and metabolic disease research.
• Collaboration with leading researchers across clinical medicine, genomics, epidemiology and computational science.
• Opportunities for high-impact publications, scientific conferences, professional development and career progression.
• A supportive and inclusive working environment committed to equality, diversity and flexible working, including Athena SWAN principles.
• A competitive University benefits package, including pension provision and generous annual leave.

For informal enquiries, contact Professor Hanieh Yaghootkar (h.yaghootkar@soton.ac.uk).

Working at the University of Southampton:

Check out the staff benefits and why you should join us at The University of Southampton.

*A standard DBS check is required for this role.

Closing Date: 03 Dec 2026

Section: Education, Research & Enterprise

Salary: £37,369 to £45,641 per annum
Full Time Fixed Term until 31/01/2030

The NIHR Maternity Disparities Consortium is a £50 million national initiative bringing together organisations with expertise in research, capacity development and working with people and communities. The Consortium aims to improve maternity outcomes and develop future research leaders, with research focusing on inequalities before, during and after pregnancy.

You will join the Preconception and Interpregnancy Health Theme, which is evaluating a new system-wide blueprint for preconception and interpregnancy care and support.

Working as part of the team, you will provide effective day-to-day administrative support to the Theme leadership and wider team. This will include helping to maintain well-organised administrative systems and processes, supporting meetings and activities, maintaining records and documentation, and assisting with the coordination of Theme activities across England and Northern Ireland.

We are looking for someone who is organised, reliable and approachable, with good communication and administrative skills and the ability to manage a varied workload. You will be comfortable working with colleagues across different organisations and able to work both independently and as part of a wider team.

This is a part-time (0.2 FTE) fixed-term appointment until 31 May 2028, in the first instance.

This is a 7-hour-per-week hybrid role. There may be flexibility in how these hours are worked, for example across one full day or two shorter days, and we would be happy to discuss suitable working arrangements at interview.

Subject to NIHR review and continued funding, there may be opportunities for elements of the research programme to continue beyond this date.

For an informal discussion about the role, please contact Desi Baramova (D.Baramova@soton.ac.uk)

Closing Date: 19 Nov 2026

Section: Management, Specialist & Administrative

Salary: £27,865 to £30,986 Pro rata per annum
Part Time Fixed Term until 31/05/2028(0.19FTE, 7 hours per week)

There will be opportunities to contribute to ongoing curriculum review, ensuring that our programme remains aligned with practice and produce future leaders in cardiac physiology, health care, health research and health education. This is a stimulating position that offers the opportunity to be involved in cross-disciplinary research within the School of Health Sciences, and throughout the University of Southampton. The School is part of the Faculty of Environmental and Life Sciences (FELS), which offers further opportunities for innovative, interdisciplinary teaching and research.

You will have a range of cardiac physiology experience, specialised in interventional cardiology, be an experienced educator in cardiac physiology with the ability to bring innovative teaching methods and contemporary practice-based experience to our well-established curriculum. 

The job:

You will be expected to support the teaching of cardiac physiology and a range of teaching and learning experiences. You will be required to have responsibility for module leadership, session delivery, marking, and examining. Other tasks include

• contributing to the design and delivery of the programme’s national curriculum
• Practice placement support
• student support and progression
• quality monitoring and enhancement activities across School, Faculty and University teams 

You will be joining a vibrant academic community committed to extending understanding in education, research and practice to create integrated educational programmes unique to the Faculty and make a positive difference to local and global health. You will receive support and line management from the Programme Manager. 

The skills/experience needed:

The School of Health Sciences in the Faculty of Environmental and Life Sciences is internationally acknowledged as a leading centre for research in Health Sciences in the UK. In the most recent Research Excellence Framework (REF2021) exercise, Health Sciences was ranked number one institution in the UK for overall quality of our research. Our research and research environment received the maximum scores with 100% judged as world leading.

Our School has an excellent track record in nurturing and supporting academic Health Professionals.

Application process:

For additional information/informal enquiries contact HSAdmin@soton.ac.uk. 

Please include a covering letter and a 1-2 page CV in your application.

Interview date: Friday 18^th December 2026.

Closing Date: 24 Nov 2026

Section: Education, Research & Enterprise

Salary: £46,970 to £59,390 Pro rata per annum
Part Time Permanent (0.4FTE)

The successful candidate will be responsible for designing, implementing, and maintaining Microsoft Azure-based infrastructure, ensuring that the SDE meets stringent security, governance, and compliance requirements associated with clinical research. The role requires experience with cloud platforms, infrastructure as code, and modern DevOps practices, alongside an understanding of networking, monitoring, and system reliability. Experience or interest in the clinical trials or healthcare domain, including the use of informatics and IT to support research, will be highly beneficial.

This position offers the opportunity to contribute to innovative projects in medical research while working in a collaborative and supportive environment. The ideal candidate will demonstrate initiative, creativity, and a genuine interest in applying technology to improve healthcare outcomes, along with strong problem-solving skills and the ability to work both independently and as part of a team.

The University of Southampton offers excellent career development and training opportunities as well as a generous holiday allowance (30 days) including bank holidays (8 days) and paid closure days (6 days). 

The University of Southampton gives you access to a wide range of benefits in addition to our competitive rates of pay and pension scheme membership and excellent family leave arrangements. 

If you would like to discuss the job with a member of the CIRU team please contact Lawrence Surey on ciru@soton.ac.uk

Closing Date: 16 Nov 2026

Section: Management, Specialist & Administrative

Salary: £37,369 to £45,641 per annum
Full Time Fixed Term until 30/09/2027

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.

 The successful candidate will work at the interface of University Genomic Informatic Research, high-performance compute infrastructure (IRIDIS), NIHR Biomedical Research Centre, and the Southampton Emerging Therapies and Technologies (SETT) group.

You will bring:

• 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.

For informal enquiries, please contact S.Ennis@southampton.ac.uk.

*A standard DBS check is required for this role.

Closing Date: 18 Nov 2026

Section: Education, Research & Enterprise

Salary: £46,970 to £49,798 Per annum
Full Time Fixed Term until 31/08/2029

Our research brings together expertise in genomics, clinical medicine, bioinformatics and data science to identify genetic drivers of disease, discover diagnostic biomarkers and support more personalised approaches to treatment. By integrating large-scale genomic and clinical datasets, we aim to improve understanding of disease mechanisms and help clinicians make better-informed treatment decisions for individual patients.

The successful candidate will play a central role in coordinating research activities within the University of Southampton and with external partners including University Hospital Southampton and international collaborators.

The Role

You will:

• Provide programme management support across a complex portfolio of genomics and clinical research activities.
• Coordinate collaborations, meetings, project plans, milestones, reporting and governance activities.
• Monitor programme progress, budgets, risks and deliverables.
• Support research governance, ethics, data-sharing and compliance requirements.
• Maintain oversight of research data assets, documentation and operational processes.
• Act as a key point of contact for researchers, clinicians, funders and external partners.
• Support recruitment, onboarding and coordination of project staff and students.
• Assist with funding applications, renewals and funder reporting.
• Contribute to communication, dissemination and public engagement activities, including Patient and Public Involvement (PPI).

The appointed individual will work at the interface of University Genomic Informatic Research, high-performance compute infrastructure (IRIDIS), NIHR Biomedical Research Centre, and the Southampton Emerging Therapies and Technologies (SETT) group.

About You

You will have:

• An efficient, highly organised, detail-oriented approach coupled with an enthusiastic ‘can-do’ attitude
• Significant project or programme management experience within research, healthcare, higher education, life sciences, software development or another complex environment.
• A strong track record of delivering multiple projects to agreed deadlines and objectives.
• Experience of project planning, risk management, reporting and stakeholder coordination.
• Confident use of project management and collaboration software/tooling with strong spreadsheet and documentation skills.
• Experience managing budgets and preparing reports for programme boards, funders or senior stakeholders.
• Excellent interpersonal skills alongside excellent written and verbal communication skills.
• The ability to work independently, prioritise competing demands and maintain momentum across multiple workstreams.
• Experience of working with sensitive information and an understanding of governance and data protection requirements.

A recognised project management qualification and experience working within scientific and healthcare environments would be advantageous.

What We Can Offer

This is an exciting opportunity to contribute to internationally recognised research that has the potential to improve the diagnosis and treatment of research participants diagnosed with life-altering illness.

You will join a collaborative and multidisciplinary research environment with strong links across medicine, genomics, data science and healthcare, working closely with leading national and international partners. The University offers excellent professional development opportunities, a supportive and inclusive working culture, generous annual leave and a competitive pension scheme.

For informal enquiries, contact Professor Sarah Ennis (S.Ennis@southampton.ac.uk).

Closing Date: 16 Nov 2026

Section: Management, Specialist & Administrative

Salary: £37,369 to £45,641 Per annum
Full Time Fixed Term until 31/08/2029