Research Fellow/ Statistician in Evidence Synthesis
CRD, University of York, UK
Full-time (Fixed term contract)
Salary £32,236 – £39,608
Apply by 31/01/2019
Further details from:  (Job Reference 7238)

Role Description:

The Centre for Reviews and Dissemination (CRD) is a research department that specialises in evidence synthesis across a range of areas to provide best evidence to inform health policy and practice. Established in 1994, the Centre has played a key role in developing underpinning methods and in establishing the value of evidence synthesis in health decision-making.
We are recruiting a Statistician (Grade 6 Research Fellow) to carry out methods research as part of an MRC-funded project, and to contribute to the NIHR Technology Assessment Reviews Programme, a research contract held jointly with the Centre for Health Economics (CHE), delivering technology assessments. There will be opportunity to work across programmes of research, and projects will be aligned with your interests, skills and experience.
You will contribute to a new methods development project on using observational evidence to complement randomised trial data, focusing on methods to assess and adjust for bias and its impact on decision-making.  You will also help plan and develop new research proposals, while presentation of project findings at internal and external meetings and at conferences is an expectation of the role.
Applications are invited from candidates who have a first degree and relevant Masters level qualification in statistics, mathematics or a related discipline with a strong quantitative component. You will preferably have a PhD in a relevant topic or have equivalent work experience. Knowledge of methods for meta-analysis and assessment of risk of bias in randomised trials in healthcare is essential. Previous experience of network meta-analysis and health economics and a proven track record of publications in high quality journals is highly desirable.
We are keen to receive applications from those with knowledge, qualifications and experience in medical statistics with particular application to health technology assessment.
The post is available from March 2019 and appointments will be made for an initial fixed-term period of three years.
For further details click here.