The University is looking to solve the business problem of improving services and people's lives through population data science research, specifically in the area of child and adolescent health impacts of learning indoor environments under net zero, as part of the CHILI Hub.
Requirements
- Experience with data analysis and interpretation
- Knowledge of statistical programming languages, such as R or Python
- Familiarity with data visualization tools and techniques
- Experience with database management systems, such as SQL
- Knowledge of data science methodologies and techniques
- Experience with machine learning algorithms and techniques
- Familiarity with cloud-based data platforms and tools
Responsibilities
- Support world-leading research to develop cutting-edge analytical tools and methodologies to address the most pressing health research challenges
- Work with the Secure Anonymised Information Linkage (SAIL) Databank’s rich anonymised population-scale, individual-level, linked data sources to answer important population-level questions that inform policy and evaluate national programmes and projects
- Utilise data from across the UK to inform research and policy
- Work closely with various stakeholders, organisations, and groups, including members of the public, researchers, policymakers, and service leads
- Contribute to the development of cutting-edge analytical tools and methodologies
- Collaborate with multidisciplinary teams, including researchers from engineering, public health, clinical medicine, mental health research, and education
- Analyse and interpret complex data to inform research and policy
Other
- Degree requirements: not specified
- Travel requirements: not specified
- Visa requirements: not specified
- Welsh language skills: Level 1 - A little, ability to pronounce Welsh words, answer the phone in Welsh, and use basic everyday words and phrases
- Equality, diversity, and inclusion: the University is committed to supporting and promoting equality and diversity in all its practices and activities
