Research Associate in Statistical Methodology​/Biostatistics

Postdoctoral Research Associate in Statistical Methodology / Biostatistics

We are seeking a motivated and collaborative individual to join our team as a Postdoctoral Research Associate in Statistical Methodology / Biostatistics. This role offers an exciting opportunity to contribute to the NIHR-funded project “Joint Modeling for Dynamic Risk Prediction in Extreme Clinical Cases Using Longitudinal Patient Data” within the Department of Mathematics, School of Natural Sciences. You will work in a dynamic and inclusive environment with interdisciplinary clinical and methodological research teams across the University and NIHR network.

• Work with Dr. Taban Baghfalaki on Joint Modeling for Dynamic Risk Prediction in Extreme Clinical Cases Using Longitudinal Patient Data
• Develop advanced statistical methodology for dynamic risk prediction using longitudinal patient data
• Collaborate with interdisciplinary clinical and methodological research teams across the University and NIHR network
• Develop reproducible statistical software, including R package development

We welcome candidates who bring diverse perspectives, experiences, and approaches to research and collaboration.

• A PhD or equivalent research experience in Statistics, Biostatistics, Data Science, or a closely related discipline, or expected to obtain one shortly
• Research experience in an area of Statistics/Biostatistics relevant to the project
• A willingness and ability to learn rapidly any technical background knowledge required for the project which you do not already possess
• Strong communication skills in written and spoken English
• A personal commitment to equality, diversity, inclusion and accessibility, and a willingness to work with colleagues from diverse backgrounds

• Research experience in longitudinal data analysis, survival analysis, or joint modelling
• Experience in extreme value methods, quantile joint modelling, Bayesian methodology, and the analysis of large-scale (big data) datasets
• Proficiency in developing reproducible statistical software, including R package development

• Generous employer contribution pension
• 29 days annual leave plus bank holidays, along with Christmas closure
• Ride to work and EV car scheme available