Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer
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You will be responsible for managing your own academic research and administrative activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via independent study and training courses.

It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, statistics, physics, engineering, data science or a related discipline, and have demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms is essential for this role, along with a strong interest in interdisciplinary research in the biological and medical sciences. Experience of applying software engineering best practices and experience of working with biomedical datasets, particularly cancer data and/or spatial data would be highly desirable for this position.