Research Associate in Health Data Science

We are seeking a highly motivated and skilled Research Associate to join our interdisciplinary health data science team based within the Department of Mathematical Sciences at the University of Bath.  

This role is part of the EPSRC AI for Collective Intelligence (AI4CI) Hub. The AI4CI Hub is a collaboration between a consortium of seven partner universities (Bath, Bristol, Cardiff, Exeter, Glasgow, UCL and Ulster). 

The Hub’s ambition is to pursue cutting edge research at the intersection between the fields of applied AI and Collective Intelligence across five application domains (Pandemic Resilience, Smart cities, Financial Stability, Health Ecosystems and Environmental Intelligence) and two cross-cutting themes (Human-Centred Design and Infrastructure and Governance). 

The successful candidate will be responsible for developing a package of work for the Healthcare Ecosystems Theme to explore how novel artificial intelligence based analytical methods can enhance decision-making processes in health care delivery and self-management for conditions such as diabetes, arthritis, anxiety, and depression. Addressing challenges related to data quality, bias, privacy, and scalability will be embedded throughout the project.  

About the role:

You will work with Dr Theresa Smith and collaborate with Dr Aisling O’Kane and her team at the University of Bristol. You will conduct fundamental research in statistics and machine learning as well as deliver case studies designed with Hub stakeholders. You will also be involved with synthesising and disseminating outputs from relevant work as part of a wider programme of knowledge exchange at the AI4CI hub. You will contribute to Bath’s wider community of interdisciplinary scholars in data science through the Institute for Mathematical Innovation and the Centre for Mathematics and Algorithms for Data.

About you:

You will be interested in researching innovative combinations machine learning, statistics, and data science with a strong commitment to pursuing applied research in a collaborative, interdisciplinary setting.  

• You must hold (or be about to receive) a PhD in Statistics, Data Science, Computer Science, or a related discipline. 
• Substantial experience applying machine learning, statistical modelling, or other data analytic techniques to large scale datasets using a programming language like R or Python is essential.  
• The ideal candidate will have hands-on experience of with electronic health records or other large routinely-collected databases. 

Further Information:

The is a full-time position for 2.5 years with a possibility of extension (depending on project requirements) to start on or soon after 1 July 2024.  

For an informal discussion about the role please contact Dr Theresa Smith (t.r.smith@bath.ac.uk). However, please submit your application via the University website including:

• an up-to-date curriculum vitae,
• a research statement describing your research interests, as well as your experience in the research areas relevant to the position,
• the names of two referees

 Interviews will take place 17 June 2024.

Advert information