Biostatistics and Modelling

The Biostatistics & Modelling domain (BSMD) has broad interests across public health and healthcare analytics and modelling. In addition to developing and applying sophisticated statistical methodologies in clinical epidemiology, genetics and proteomics, our researchers also develop methods for mining large epidemiological and omics datasets to understand the aetiology of complex diseases in humans, work on cutting edge artificial intelligence methods for healthcare data, are experts in clinical trial design and analyses, and undertake spatial and burden modelling of chronic diseases, such as diabetes, as well as infectious diseases, such as dengue.

We have lots of opportunities for quantitative people excited by the prospect of using their skills to make a difference. Prospective job applicants are invited to check out the school’s career page to look for any current vacancies. Prospective PhD students should identify a potential supervisor and scope out a project before applying through the School’s PhD programme. Undergraduates who are looking for internships or research projects such as final year or capstone projects are invited to write to potential supervisors.