Research Associate in Statistical Modelling for High-Dimensional Data
Core
Conducting research on statistical modelling for high-dimensional data, including variable selection, inference, and stability selection methods for complex data in bioinformatics, health, and agriculture.
Role type
Research Associate (Statistical Modelling)
Builds
Research outputs, PhD/MRes student supervision, and collaborative projects with academic partners.
Domain
Academic research in Statistics, Data Science, and Bioinformatics
Deliverable
research
Required skills
Statistical modelling, variable selection, Bayesian methods, R programming, postgraduate student supervision, grant writing, computational analysis
Preferred skills
High-dimensional data analysis, stability selection, statistical software development, open-source tool creation
Technologies
R
Responsibilities
Develop statistical methods for multi-layered data, supervise postgraduate research students, publish in peer-reviewed journals, present at scientific conferences, contribute to funded collaborative research projects
Seniority
Mid-level Research Associate