Research Associate in Biostatistics - MRC-funded project on "Inferring relative treatment effects from combined randomised and observational data"
(Vacancy ID:1006)
Biostatistics Research Group
Department of Health Sciences
University of Leicester, UK
Vacancy terms: Full-time open ended contract subject to fixed term funding. Funding is available until 31 December 2021
Salary details: Grade 7 £34,189 to £39,609 per annum
Hours per week: 37.5
ABOUT THE ROLE:
You will develop and carry out independent research, contributing as a team member to the MRC-funded project on "Inferring relative treatment effects from combined randomised and observational data", based within the Biostatistics Research Group in the Department of Health Sciences at the University of Leicester and working in collaboration with colleagues at the Universities of Bristol and York.
The post will involve the development and application of statistical methods as well as guidance on different ways in which observational evidence can be used in decision making in a Health Technology Assessment (HTA) context. This methodological development will be carried out within several work-packages using a series of real-world case studies to illustrate these.
The work packages are focussed on developing methods for population-adjustment for disconnected networks, inclusion of comparative observational data in (network) meta-analyses based on aggregate data, deriving relative treatment effects from comparative observational data, estimating relative effects by combining registry and RCT evidence and exploring the impact of bias on decision making. The case studies will typically involve synthesising evidence from a variety of sources (making due allowance for the nature and heterogeneity of these sources), and using simulation-based methods to explore decision making uncertainty.
ABOUT YOU:
The successful candidate will be educated to PhD level (or relevant MSc plus research experience) in Biostatistics/Medical Statistics, Applied Statistics/Statistics, Epidemiology, Health Technology Assessment, Operational Research or Health Economics.
You will have high-level expertise in biostatistics/medical statistics/applied statistics/epidemiology/Health Technology Assessment/Operational Research/Health Economics, analysis of RCT and observational patient level data, simulation-based methods (including Markov Chain Monte Carlo), and meta-analysis/evidence synthesis methods (including network meta-analysis).
You will also have outstanding communication skills, and a proven ability to contribute to the development of presentations and peer reviewed publications.
FURTHER DETAILS & APPLICATION PROCESS:
Further details, including job summary and application process are available at;
https://jobs.le.ac.uk/vacancies/vacancy-details.aspx?VacancyID=1006
Details about the Biostatistics Research Group at the University of Leicester can be found at;
https://www2.le.ac.uk/departments/health-sciences/research/biostats
Informal enquires are welcome and should be made to Prof Keith R Abrams on [log in to unmask]<mailto:[log in to unmask]> or +44 (0)116 229 7266.
DEADLINE:
Advert closes midnight on: 23 Apr 2019
Keith R Abrams PhD CStat
Professor of Medical Statistics,
NIHR Senior Investigator Emeritus &
Head, Biostatistics Research Group
Department of Health Sciences
College of Life Sciences
University of Leicester
George Davies Centre
University Road
LEICESTER LE1 7RH UK
Tel +44 (0)116 229 7266
Mob +44 (0)797 163 1170
Email [log in to unmask]<mailto:[log in to unmask]>
Webpage http://bit.ly/2njeYlD
Twitter @KRAbrams<https://twitter.com/KRAbrams>
Health Data Research (HDR) UK - www.hdruk.ac.uk<http://www.hdruk.ac.uk/> & @HDR_UK<https://twitter.com/HDR_UK>
HDR UK @ Leicester - https://hdruk.le.ac.uk/
NIHR Complex Reviews Support Unit (CRSU) - nihrcrsu.org<http://www.nihrcrsu.org/> & @NIHRCRSU<https://twitter.com/NIHRCRSU>
Athena SWAN Silver Award - Dept of Health Sciences
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