Data Scientist (Healthcare) Oxford, England
University of Oxford
Full Time
Oxford, England
35308 - 43155 GBP ANNUAL Today
Job description
Previous applicants of 163434 Data Scientist need not apply
We are looking for a committed, enthusiastic post-doctoral data scientist to join the Critical Care Research Group (CCRG) at the University of Oxford. Led by Professor Peter Watkinson, the CCRG aims to translate advances in biomedical technology, medical statistics, and machine learning into clinical tools that improve outcomes for critically ill patients. Our multi-disciplinary team includes clinicians, nurses, physiotherapists, biomedical engineers, statisticians, and qualitative researchers.
Examples of previous impact include:
- Being the first in the world to demonstrate noncontact monitoring of oxygen saturations in clinical environments using webcams
- Developing and implementing an evidence-based early warning score system (SEND) in multiple NHS hospitals
- Developing novel machine learning algorithms to identify patient deterioration in hospital
Using your previous experience of applying state-of-the-art statistical and machine learning methods to healthcare data, you will make key contributions to our research programme. You will have the opportunity to work closely with internationally renowned statisticians, machine learning experts and clinicians. You will design and implement analysis of large patient cohorts, from data extraction to statistical analyses. You will lead and contribute to peer-reviewed publications and funding applications.
The position is full-time, although part-time employment will be considered, please state your proposed hours/week on your application. Funding is available for two years in the first instance with the possibility of extension.
Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria, using examples from your skills and previous experience.
This post is fixed-term for two years in the first instance.
Only applications received before 12:00 midday 7th June will be considered
Interviews will be held as soon as possible thereafter
