Job Description

Salary: Grade 07 \xc2\xa332,982 \xe2\x80\x93 \xc2\xa337,099 / Grade 08 \xc2\xa338,205 \xe2\x80\x93 \xc2\xa344,263 per annum depending on experience, together with USS pension benefits

Contract: This is fixed term until 28th February 2025. Full-time

Location: Swansea University Medical School

Join a highly multidisciplinary team at Swansea University Medical School (1st medical school in the UK by the ) to conduct population mental health research, analysing a world-class population-level dataset containing billions of records using a mix of traditional and novel analytical methodologies. This is an exciting opportunity to make your work count, with the potential to have real impact on policy decision in Wales and peoples\xe2\x80\x99 mental health and quality of life.

You will be based in a thriving mental health research team with over \xc2\xa340M in joint funding over the last five years, where you will be able to learn new skills and will be supported throughout your career development. You will apply your research, analytical and/or programming expertise to answer mental health related questions across the team\xe2\x80\x99s and the Administrative Data Research ( ) Wales partnership\xe2\x80\x99s portfolios, including and the Data Science theme of the . In doing so, you will address mental health priority areas for action in Wales as identified in the Welsh Government\xe2\x80\x99s national strategy , UK and internationally. Your work will result in the publication of research findings as policy briefings and high-impact journal papers.

The team is led by Prof. Ann John, chair of the National Advisory Group on suicide and self-harm prevention to Welsh Government, member of SAGE and Trustee of the . Swansea University Medical School ranked 1st in the UK for research environment and 2nd for overall research quality at the last Research Excellence Framework. It has a renowned reputation in Health Informatics and is a substantive site. The Adolescent Mental Health Data Platform ( ) and the Secure Anonymised Information Linkage ( ) Databanks at Swansea University are research Centres of Excellence that bring together a breadth of multi-disciplinary partners through catalytic collaboration. They are a safe haven for billions of person-based records, spanning up to 20 years from an entire population, which enables researchers to answer important questions for the benefit of society.

The successful applicant will have a background in data science and/or clinical epidemiology, have enthusiasm and aptitude for working with mental health related data. Preferably, you will be experienced in the use of large relational databases through SQL, be fluent in a programming language such as R, Stata or Python, and have knowledge of routine big data such as GP records and hospital admissions.

The University is committed to supporting and promoting equality and diversity in all of its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation.

We have an under-representation of men in the area of research and would particularly welcome applications from men for this position. We also have an under representation of individuals from ethnic minority backgrounds and would encourage applications from these groups. Appointments will always be made on merit.

Please note this job is also being advertised to a pool of colleagues internally as part of our University commitment to employee redeployment. Should this post be filled from this route then you will receive an email confirming this. If you do not receive an email, please assume that your application is still in process.

Internal applicants

Applications from current Swansea University staff for a fixed term role who already hold a role within the University will require approval from their line manager and a signed Secondment request form prior to applying for this role.

To access the Secondment request form and details of the University Secondment Policy, please visit .

The approved secondment request form should be uploaded along with your CV into the recruitment system. The application will not be progressed without the submission of the approval form. Your application for this role will be reviewed in accordance with Swansea University recruitment procedures.

If you have any questions, please contact your HR Business Partner.

You will be asked to complete an online application providing evidence against the essential criteria in the recruitment documentation (please cite criteria numbers 1 to 13 when proving evidence). Applicants should also attach to the application their Curriculum Vitae and Publication List.

For further information please contact Dara Almeida Medina ( ).

Swansea University