Senior Data Scientist

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF The Big Data Institute at the Nuffield Department of Medicine has an exciting opportunity for an experienced Senior Data Scientist to join a new Biostatistics and Artificial Intelligence Group led by Professor Chris Holmes. The Group is located Oxford’s Big Data Institute (BDI) and closely linked with the Department of Statistics. You will be based in the Big Data Institute with close links to the Department of Statistics. The Senior Data Scientist will act as the primary interface between different data analytical and data provisioning teams across industrial partnerships, providing senior oversight to manage unique highly dimensional biomedical and patient data, ensuring accurate data harmonisation, integration and version control. You will be responsible for identifying, defining and planning the use of novel and established methodologies to develop and enhance data tracking, storage (databases), querying and reporting strategies for each project, providing advice to scientists and clinicians within the University and externally. You will produce detailed project plans to support reproducible analysis; oversee resourcing, set and monitor deliverables, and identify and troubleshoot technical or scientific problems, working collaboratively across the partnership to overcome issues, and you will design database schemas for large scale data and pool together and harmonise data from multiple modalities and clinical trials ready for research. It is essential that you hold a Master’s degree in a mathematical or computational area, and have extensive experience in data science and data wrangling in a biomedical space, and experience and fluency in programming (with python, R, and SQL). You will also have experience in bioinformatics techniques, data management and relational databases, and experience in developing user-friendly interfaces for data visualisation and quality control. It is essential you can independently manage your own workload and plan and manage research projects, and have excellent organisational and prioritisation skills with an ability to work under pressure at times to meet deadlines.