We have an exciting opportunity for an experienced computer scientist/statistician/data scientist to work in collaboration with the Neonatal Research Group in the Department of Medicine on patient-level big-data analytics. The post-holder will be a member of the Institute for Translational Medicine and Therapeutics (ITMAT) Data Science Group https://www.imperial.ac.uk/itmat-data-science-group, located in the South Kensington Campus. The post is funded through the NIHR Imperial Biomedical Research Centre, ITMAT Push for Impact call.
Duties and responsibilities
The Research Assistant/Associate will analyse population data held in the National Neonatal Research Database (NNRD) and utilise machine learning techniques for the systematic identification of key determining factors in an exemplar set of clinical and associated care-related outcomes. The research will seek to identify, via data-driven ML/AI analytic approaches, patterns of relevant information (interventions, processes and contexts) and build predictive models of mortality and other defined clinical outcomes to reveal causality and revolutionise neonatal care. Key findings will be directly exploitable in clinical trials, industry-led studies and public-sector evaluations.
A good first degree (or equivalent) or an MSc or equivalent in applied mathematics, bioinformatics, computer science, statistics, data science, or in another quantitative field is required for appointment as Research Assistant. Applicants for appointment as Research Associate should hold a PhD degree or equivalent in the same area. A strong knowledge of computer programming (Python or R) with experience in data analysis is essential. Practical experience within a research environment, and/or publication in relevant peer refereed conferences or journals is desirable.
The position will provide the post holder with opportunities for supervision of MSc students. Experience in other teaching roles, including lecturing, will be encouraged as part of the broad range of career development opportunities that Imperial College makes available to its post-doctoral research staff.
This post is full time for a fixed term until 30 November 2019 in the first instance.