Salary: Grade 7: £32,236 - £39,609 p.a. (pro rata for part-time)
We are looking for a committed and enthusiastic statistician/data scientist with proven skills in complex data manipulation and the application of modern statistical/machine learning approaches to the analysis of electronic health records. This post provides a unique opportunity to develop novel methods and undertake high impact research in the rapidly growing field of data science in healthcare. The postholder will work on two NIHR-funded projects (CAFE and FOBS), in collaboration with academics from UK universities, the Massachusetts Institute of Technology (MIT) and the Intensive Care National Audit and Research Centre.
The postholder will be part of a successful multi-disciplinary team of Intensive Care clinicians, engineers, medical statisticians, and Qualitative Research and Human Factors experts, who have consistently translated research into clinical practice.
The postholder will have a PhD/DPhil (or BA/BSc with significant relevant experience) in medical statistics or a related discipline and an OUH honorary contract. It is essential that the postholder have substantial experience of medical statistics and analysing longitudinal data, supported by publication records. Knowledge of at least one statistical package is necessary as is the ability to work well under pressure, managing multiple tasks in a milestone-orientated research environment, with excellent planning, organisational, and problem-solving skills. Experience of the extraction, linkage and analysis of electronic health records and knowledge of Python and/or SQL would prove beneficial.
The post is full-time (part-time will be considered, Please state your proposed hours/week on your application.) for a fixed-term until the 31 May 2020 in the first instance.
Only applications received before 12.00 midday on 8 March 2019 will be considered. Interviews will be held as soon as possible thereafter.