Job description
We seek a Technical Analyst in infectious disease epidemiology, mathematical modelling or statistics to work to improve the control of malaria.
Malaria remains a major cause of suffering and death. Since 2000 there has been a substantial reduction in disease burden, but in recent years advances have stalled. New types of bednets have been developed with different insecticides and are currently being trialed in multiple sites across Africa. This project will investigate how these new types of nets can be used to improve malaria control. It is funded by Global Fund to explore how to improve malaria control given the local situation and budgets. The postholder will use existing transmission dynamics mathematical models to understand the effectiveness of new anti-mosquito interventions and how they can be used in the field to save lives. Models, primarily run through R packages, will be run to address different scientific questions and support the design and interpretation of epidemiological trials run in multiple sites in Africa. The post holder will work closely with a multidisciplinary team to build up the evidence to support decision-making.
Duties and responsibilities
- Lead the analysis of entomological and epidemiological data
- Generate modelling outputs to directly address questions posed by public health agencies and national malaria control programmes
- Investigate the public health impact and cost-effectiveness of new malaria control intervention
Essential requirements
- Hold an MSc or PhD in infectious disease epidemiology, population biology, mathematics, statistics, or a similarly quantitative discipline
- Understanding of the epidemiology of vector borne diseases
- Significant experience in epidemiological data analysis
- Experience in R programming language for performing model simulations and data analysis
Further information
This is a full time and fixed term post until 31 December 2024. You will be based at St. Mary’s Campus (Paddington).
Should you require any further details on the role please contact: Professor Tom Churcher – [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. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
Documents
- Final JD - MED03923.pdf
About Imperial College London
CEO: Prof. Alice Gast
Revenue: Unknown / Non-Applicable
Size: 5001 to 10000 Employees
Type: College / University
Website: www.imperial.ac.uk/jobs
Year Founded: 1907