University of Edinburgh
|Salary:||£32,004 to £38,183|
|Contract Type:||Contract / Temporary|
|Placed on:||10th October 2016|
|Closes:||7th November 2016|
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This is an exciting opportunity for an academic biostatistician, medical statistician, health economist or econometrician who is looking to expand their portfolio of methodology expertise and contribute to the cutting edge of methods developments in data analytics.
The primary purpose of the post is to deliver, as principle analyst, the applied and methodological components of a large data project funded by the Scottish Chief Scientist’s Office within a collaboration between the University of Edinburgh and Imperial College London:
“A natural experiment using Scottish clinical data to estimate the real-world effectiveness of adjuvant chemotherapy in breast cancer patients”.
This project has the following aims that exploit rich Scottish datasets:
- Measure the benefit from chemotherapy in a real-world early breast cancer population
- Validate commonly used web-based benefit prediction decision tools in Scotland
- Determine the feasibility of using the regression discontinuity design in this context
The successful applicant will work on this project as part of a programme of research that is developing and applying cutting-edge methods in the analysis of large healthcare datasets for the evaluation of health technologies and health policy. He or she will join a team of economists, data scientists, analysts, statisticians and methodologists working within the Usher Institute for Population Health Sciences at the University of Edinburgh, the Farr Institute and the Edinburgh Clinical Trials Unit.
The applicant will be physically located within a multidisciplinary environment at the Farr Institute Scotland offices at the Edinburgh Bioquarter (www.farrinstitute.org).
The post is available for 18 months. Interviews will be held on Tuesday 22nd November 2016.
For more information and to submit an application, please use the ‘apply’ button below.
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