Duties: The principal responsibility will be to work with scientists to improve the efficiency of laboratory based research and preclinical studies, and drive the use and implementation of innovative statistical methods in the design, analysis and reporting of the research; To determine appropriate statistical methods for use in research, and draft statistical analysis plans under the mentorship of more senior statistical colleagues. Examples of methods that might be required include machine learning applied to molecular data, pathology imaging and routinely collected data; To undertake statistical analyses and prepare reports for project teams; To liaise with project teams to provide statistical input to the preparation of papers for publication, or for presentation at conferences; To contribute to the teaching of biomedical statistics within the Institute/Faculty, prepare suitable instructional material and websites and assist in the supervision of students if required
Requirements: PhD in biostatistics or bioinformatics with a substantial component relevant to the design of experiments in preclinical research. (Applicants without a PhD would be encouraged to undertake and a complete a PhD within the timelines specified by the university’s PhD regulations); Technical and methodological statistical skills relevant to laboratory based or preclinical medical research; Experience of using or aptitude to learn machine learning methods for multidimensional data analysis; Evidence of completed research and published research projects, or equivalent; Knowledge of one or more statistical analysis packages (SAS, STATA, R)