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SalaryAbout The University
Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.
Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance.
About The Role
This is a fixed term role until 30th September 2027 working full-time.
The Re-thinking Health Policy in Multimorbidity (REMIT) project aims to develop new methods to assess emerging treatments for people living with multiple long-term conditions. This new approach will allow healthcare decision-makers to make the best use of available resources to improve patient care. This project will utilise the Secure Anonymised Information Linkage (SAIL) Databank’s (https://saildatabank.com/) rich anonymised population-scale, individual-level, linked data sources to answer important population-level questions that will inform health technology assessment, policy, and practice.
We are looking for a statistician/data scientist who will lead and undertake advanced analysis methods to deliver the research priorities of the programme. Activities will include (but not limited to) analysis of large-scale, linked, electronic health records including application of survival analysis methods, trial emulation, simulation-based approaches, and evidence synthesis methods. The post holder will work closely with a team of senior researchers nationally and internationally under the leadership of Professor Rhiannon Owen.
The Research Officer will be based within the Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/), which is home to leading Researchers & Data Scientists who focus on a range of projects and programmes that seek to improve people's lives through population data science research.
Applications are sought from individuals with skills and experience in data analysis with a background in any of the following areas: statistics, mathematics, operational research, or related data science disciplines.
Equality, Diversity & Inclusion
The University is committed to supporting and promoting equality and diversity in all 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.
As an inclusive and welcoming workplace, we value people for their skills regardless of their background. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.
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.
Welsh Language Skills
The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course.
The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.
Additional Information
Applications for this role will take the format of a CV submission and cover letter.
