Research Associate x 3
Applications are invited for the post of Research Associate (3 posts are available) to work in the MRC Centre for Global Infectious Disease Analysis with the theme of Understanding SARS-CoV-2 transmission dynamics. The current COVID-19 pandemic is the greatest threat posed by a respiratory virus since the 1918 H1N1 influenza pandemic. As countries start to emerge from the first "wave" of the pandemic, there is increasing evidence that...
Job listing information
- Reference MED01958
- Date posted 26 July 2020
- Closing date 16 August 2020
Applications are invited for the post of Research Associate (3 posts are available) to work in the MRC Centre for Global Infectious Disease Analysis with the theme of Understanding SARS-CoV-2 transmission dynamics.
The current COVID-19 pandemic is the greatest threat posed by a respiratory virus since the 1918 H1N1 influenza pandemic. As countries start to emerge from the first "wave" of the pandemic, there is increasing evidence that SARS-CoV-2 dynamics are driven by transmission events in specific settings resulting in "clusters" of cases. This new workstream will explore where transmission is occurring and implications for control.
Duties and responsibilities
Potential areas of work will include:
- Comparisons of interventions across countries
- Incorporating attack rate data
- Inferring the context of transmission
- Quantification of transmission coefficients by setting
- Relative contribution of asymptomatic vs symptomatic infections
- Age-dependency in susceptibility and transmission
- Insights from behavioural surveys on adherence to measures
The research will be undertaken within the Medical Research Council (MRC) Centre for Global Infectious Disease Analysis and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), both within Imperial College’s School of Public Health and the Faculty of Medicine. The Centre and J-IDEA are directed by Professor Neil Ferguson.
You will work as part of the larger Imperial College COVID-19 Response Team including several Centre and J-IDEA PIs (Prof Christl Donnelly, Prof Azra Ghani, Prof Nick Grassly, Prof Tim Hallet, Prof Steven Riley, Dr Katharina Hauck, Dr Sam Bhatt, Dr Marc Baguelin). The exact details of the project will be determined by the match of the candidate’s skillset to project areas of interest.
You will have a PhD or equivalent in one of the following areas: statistics (including computational statistics and machine learning methods), bioinformatics, mathematics, or a similarly quantitative discipline. Essential requirements are experience in data collection and analysis and model fitting and inference.
The post is full time and fixed term for 18 months in the first instance and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.
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About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
All Imperial employees are expected to follow the 7 principles of Imperial Expectations:
- Champion a positive approach to change and opportunity
- Communicate regularly and effectively within, and across, teams
- Consider the thoughts and expectations of others
- Deliver positive outcomes
- Encourage inclusive participation and eliminate discrimination
- Develop and grow skills and expertise
- Work in a planned and managed way
In addition to the above, employees are required to observe and comply with all College policies and regulations.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
Athena SWAN Silver Award 2016
We renewed our Silver in the April 2016 submission round. Recognising advancement of gender equality.
Disability Confident leader
Imperial is a Disability Confident leader
Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people