Sort by
Refine Your Search
-
Employer
- ;
- University of Newcastle
- University of Oxford
- University of Cambridge
- University of Glasgow
- University of Bristol
- King's College London
- Durham University
- University of London
- Lancaster University
- The University of Southampton
- University of Exeter
- University of Leeds
- University of Leicester
- University of Nottingham
- ; University of Birmingham
- ; University of Huddersfield
- ; University of Leeds
- ; University of Salford
- Bangor University
- Brunel University
- Edge Hill University
- Falmouth University
- Medical Research Council
- Queen's University Belfast
- Royal College of Physicians
- St George's University of London
- The Open University
- University College London
- University of Bath
- University of Derby
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of Sheffield
- University of Surrey
- University of Winchester
- 27 more »
- « less
-
Field
-
are looking for a dynamic individual with a robust background in statistics evidenced by a strong publication record and a proven track record of analysing data both cross-sectionally and longitudinally
-
statistics, biostatistics, or health data sciences together with an MSc in Public Health, Epidemiology, Statistics, Medical Statistics, Biostatistics, or a related field. Demonstrable advanced skills and
-
are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
-
, data reporting, and communicating statistics and trends to a lay audience. The person will be responsible for supporting the statistical analysis of project work, basic research of trends in
-
Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three broad aims
-
experience in project management involving data management, health data science, medical statistics, epidemiology, or a related discipline. We would also welcome applications from people with advanced data
-
are enthusiastic about investigating and engineering real-world solutions to pressing data-centric problems and to do so in a way that pulls on rigorous Bayesian statistics and scalable computational resources
-
physiological samples; preparing samples for analysis and carrying out DNA sequence analysis; collating, organising, and statistically and computationally analysing data with assistance and advice from
-
. This is complex work – but is also deeply engaging and stimulating. The data and statistics we publish on GCSEs, AS/A levels, and vocational and technical qualifications provides the education system and
-
primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation