Research Fellow

Research Fellow White Waltham, England

Imperial College London
Full Time White Waltham, England 51417 - 60855 GBP ANNUAL Today
Job description

The George Institute for Global health are focused on the global health challenges that cause the greatest loss of life, the greatest impairment of life quality and the most substantial economic burden, particularly in resource-poor settings.

Due to the recent award of a number of substantial research grants, The George Institute for Global Health is recruiting a new research assistants/research fellows (level dependent on experience) to join our growing epidemiology and statistical analysis team. The post-holders will assist in conducting and interpreting analyses of large health and medical datasets with an overall goal of developing evidence-based recommendations that will improve the health of millions of women and men, both in the UK and internationally.

The post-holders will join our team of statisticians, epidemiologists, clinical research fellows, health systems scientists, PhD students and support staff, and will be expected to contribute to various projects which use data from several hundred thousand (or even millions) of individuals (disease registries, cohort studies, primary care records, biobanks and meta-analyses).

Duties and responsibilities

The postholders will be responsible for conducting epidemiological and statistical research with a primary focus on chronic health conditions and the ways in which various factors, such as socio-economic status, or the concurrent presence of multiple conditions (multimorbidity) can impact health outcomes such as morbidity, mortality, and health service use. Importantly, the research will not stop at uncovering these issues, but will seek explanations for sex/gender differences – biological, behavioural or otherwise.

Essential requirements



  • PhD (or near completion) in epidemiology, statistics, data science, or a related subject with a quantitative emphasis

  • MsC in epidemiology, statistics, data science, or a related subject with a quantitative emphasis

  • Experience of analysing large-scale administrative or routinely collected health-related datasets

  • Scientific research published in peer-reviewed journal

  • We are looking to appoint a dedicated advanced research fellow with a background epidemiology, statistics, data science, or a related subject with a quantitative emphasis

  • You will apply your knowledge and skills to direct the work of a small research team and motivate others to produce a high standard of work

Further information

The post is full time and fixed-term for 2 years in the first instance with possibility of extension, based at the White City Campus.

For further information and a formal discussion please contact Professor Mark Woodward ([email protected]).

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. Find out more about animal research at Imperial.

Documents

  • Job Description - Research Fellow.pdf

Research Fellow
Imperial College London

www.imperial.ac.uk/jobs
London, United Kingdom
Prof. Alice Gast
Unknown / Non-Applicable
5001 to 10000 Employees
College / University
Colleges & Universities
Education
1907
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