RESEARCH OFFICER - DATA SCIENTIST STATISTICIAN

This is a Fixed Term contract until 31st March 2028.

The Health Data Research (HDR) UK Medicines in Acute and Chronic Care Driver Programme is a UK-wide multidisciplinary collaboration of clinical, data and discovery scientists focussed on delivering innovative data science solutions for medicines management. This 4-year Programme will develop and apply statistical methods using large linked electronic health records to identify adverse drug reactions, errors in prescribing, drug-drug interactions and improve patient outcomes through increased guideline compliance and addressing a series of clinically informed, data-driven challenges.

As a core partner of the HDR UK Medicines in Acute and Chronic Care Driver Programme, the Population Data Science group at Swansea University 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 generalised linear models, survival analysis, simulation-based approaches, and evidence synthesis methods. The post holder will work closely with a team of senior researchers and data scientists within the Population Data Science group under the leadership of Professor Rhiannon Owen as well as various external stakeholders and organisations as part of a UK-wide collaborative.

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.