Research Assistant in Public Health
Imperial College London School of Public Health
United Kingdom

Job summary

We are looking for an enthusiastic, experienced and versatile researcher with a very solid background in mathematical modelling, epidemiology of infectious diseases (particularly sexually transmitted infections), statistical analysis and meta analytic reviews with experience of conducting analysis to efficiently answer important and timely public health questions. You should also have demonstrated leadership and coordinating qualities and be...

Job listing information

  • Reference MED01899
  • Date posted 24 June 2020
  • Closing date 26 July 2020

Key information about the role

  • Location St Mary's Campus (map)
  • Position type Full time, fixed term
  • Salary £35,477 plus benefits
  • Department School of Public Health
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

We are looking for an enthusiastic, experienced and versatile researcher with a very solid background in mathematical modelling, epidemiology of infectious diseases (particularly sexually transmitted infections), statistical analysis and meta analytic reviews with experience of conducting analysis to efficiently answer important and timely public health questions. You should also have demonstrated leadership and coordinating qualities and be able to work on a portfolio of projects as well as have very good presentation skills, work to tight deadlines, and be able to travel.

Duties and responsibilities

The range of projects that you may be involved in will be in the field of prevention of sexually transmitted infections, such as HSV-2 HPV, and HIV in different risk populations (e.g. FSW, MSM, PWID) and settings, with a focus on resource poor settings, to inform public health decision-making. There might be opportunities to work on Covid-19.

Depending on qualifications and expertise, you may be responsible for all stages of mathematical modelling project from the development and coding of the mathematical model, model calibration, and the modelling analysis, and/or work, as part of a wider team, on specific tasks on collaborative projects, which may include model calibration, secondary statistical data analysis and /or comprehensive systematic reviews and meta-analysis. Evidence of previous hands-on research experience and ability to lead several projects in parallel will be an asset.  You will be expected to present at international conferences, publish in peer reviewed journals and be able to travel to international meetings.

This is a very rewarding position among a dynamic team of international multi-disciplinary collaborators. The results of this study will inform STI and HIV control programs and international agencies. This work is partly funded by UNITAID and the HPTN modelling centre (HPTNmodelling.org), McGill University, and WHO.  

Essential requirements

You should have a MSc in epidemiological modelling, infectious disease epidemiology, ecology, population biology, mathematics, statistics, theoretical physics, computer science or an alternative highly quantitative discipline. You will have a vision, able to deliver to deadlines, to work and communicate regularly with the team at Imperial College and elsewhere as required. Working knowledge of French is desirable.

Further information

This post is full time and fixed term until 30 June 21 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.

For technical issues when applying online please email recruitment@imperial.ac.uk

Should you have any queries please contact Prof Marie Claude Boily: mc.boily@imperial.ac.uk

Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

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 where their use is shown to be necessary for developing new treatments and making medical advances. 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


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