Centre for Human Genetics, Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN The Oxford-GSK Institute of Molecular & Computational Medicine is a multidisciplinary programme aiming to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern of diseases in new ways. The Institute has an exciting opportunity for a Senior Statistical Geneticist to join the team. You will lead in the design and implementation of statistical and computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing documentation and user support. You will be responsible for leading statistical analysis of numerous projects and you will work closely with other project members to develop software packages and workflows. Where appropriate, you will train others in the use of software developed during the course of the projects. Other responsibilities will include keeping meticulous, detailed records of your work and committing to performing cloud-based analyses on the IMCM data platform, identifying and troubleshooting technical or scientific problems, and working collaboratively with the IMCM bioinformatics core group to overcome issues. It is essential that you hold a PhD/DPhil in a relevant subject area (e.g. computer science, bioinformatics, mathematics, medical statistics, statistics). You will have extensive knowledge and working understanding of statistical concepts and tools, including Mendelian randomisation, and expertise in one or more programming languages (for example bash, R, C, Python). Experience handling and analysing various types of ‘omics data types, such as RNA-Seq, whole genome or exome sequencing data, single cell profiling, ChIP-Seq, proteomics, and metabolomics is essential for this role, along with strong interpersonal skills and ability to contribute to a supportive, helpful culture and work very closely with end users. Previous experience of working on neuroscience projects, such as on Parkinson’s disease, Alzheimer’s disease, ALS or another neurodegenerative disease would be highly desirable for this position.
