This is an exceptional opportunity for an ambitious postdoctoral researcher to work on health inequalities in the UK. The outcomes of this project are likely to be rapidly translated into policies and to open up further career opportunities.
The post is funded by the NHS Race & Health Observatory to provide a rigorous evidence base on the care quality, research and funding for sickle cell disease, in comparison with other rare inherited diseases such as cystic fibrosis or haemophilia. The purpose of collecting this evidence base across geographic health units is to identify disparities in sickle care and research across the UK that may be addressed by policy recommendations.
This project stemmed from the recent parliamentary inquiry into avoidable deaths and failures of care for sickle cell patients in secondary care, which also identified inadequate investment in sickle cell care, and the “No one is listening” report of the UK Sickle Cell Society. The work will involve a review of the literature and of user research; an analysis of temporal trends in health resource usage, costs, waiting times based on HES data; and survey and workshops with patients and specialist healthcare professionals.
The work will be conducted in collaboration with the Ethnicity & Health Unit (Ganesh Sathyamoorthy) and the Dr Foster Unit (Alex Bottle) at Imperial College London, as well as with the UK Sickle Cell Society (John James).
Duties and responsibilities
You will be responsible for conducting the evidence review and the data analysis, and to support the activities with patients and healthcare professionals. You will also be expected to help with the writing of the report and recommendations to the NHS RHO, and to submit publications to peer-reviewed open-access journals. It is anticipated that this project will represent an excellent springboard to attract further external research funding in this area.
You should hold a PhD in epidemiology, data analytics, biostatistics or a related quantitative discipline:
Research Associate: Hold a PhD in epidemiology, data analytics, biostatistics or related quantitative discipline, or equivalent research, industrial or commercial experience
Research Assistant: Near completion of a PhD in epidemiology, data analytics, biostatistics or related quantitative discipline, or equivalent research, industrial or commercial experience
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
You should be able to work independently and deliver excellent outputs quickly
Experience in analysing UK health data (e.g. HES)
Experience with appropriate statistical software packages (e.g. R)
Experience of working on health or socio-demographic inequalities
Experience of publishing scientific paper in the peer-reviewed literature
For more information and to apply, click 'Apply Here'.