Research Assistant / Associate

Job summary

This is an exciting opportunity for an ambitious interdisciplinary researcher to join a dynamic research group and carry out innovative research in population health and artificial intelligence (AI). The overall theme of the research is to apply novel methods from machine learning and AI to understand the patterns of multi-morbidity among patients with cardiovascular disease in England, how these affect their chances of survival, and how they...

Job listing information

  • Reference MED01571
  • Date posted 20 November 2019
  • Closing date 18 December 2019

Job description

Job summary

This is an exciting opportunity for an ambitious interdisciplinary researcher to join a dynamic research group and carry out innovative research in population health and artificial intelligence (AI). The overall theme of the research is to apply novel methods from machine learning and AI to understand the patterns of multi-morbidity among patients with cardiovascular disease in England, how these affect their chances of survival, and how they differ across different parts of the country and different social groups. The work is at the cutting edge of both population health and machine learning and involves collaborative research among health and data science teams at Imperial.

The position is a part of the BHF Centre of Research Excellence which is a highly interdisciplinary network of cardiovascular researchers and data scientists. The post-holder will be based in the Environment and Global Health Research Group (www.globalenvhealth.org) at Imperial School of Public Health, which is internationally renowned for data-driven research on population health, and be integrated with the Data Science Institute(https://www.imperial.ac.uk/data-science/) and the AI group at Imperial http://www.imperial.ac.uk/ai).

Duties and responsibilities


  • To conduct research on multi-morbidity among patients with cardiovascular disease

  • To understand the structure and contents of data sources used to measure cardiovascular disease incidence and death at the population level

  • To advance the state of the art in machine learning with special focus in solutions of relevance to cardiovascular health

  • To apply statistical and machine learning methods for analysing spatial and social patterns of cardiovascular disease multi-morbidity

  • To report, visualise and discuss the inputs, methods, and results of the analyses with colleagues and collaborators in different scientific disciplines

  • To take initiative in the planning of research and to effectively manage research projects

  • To write papers and reports for publication in peer-reviewed journals and submission to research sponsors

  • To attend research group meetings and other relevant meetings

  • To attend relevant workshops and conferences as necessary

  • To provide some guidance to students and more junior researchers

  • To undertake any necessary training and/or development


Any other duties commensurate with the grade of the post as directed by line manager / supervisor

Essential requirements

You must have an exceptional aptitude for analytical and critical thinking about scientific/clinical problems and about machine learning/AI and data analytics; strong communication capabilities; motivation for problem solving; aptitude for interdisciplinary research and teamwork; and ability to work and learn independently.

Further information

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £35,477 - £38,566 per annum.

The role is full-time and fixed-term for 2 years.

The College cannot normally apply for a Certificate of Sponsorship for this post under Tier 2 of the UKVI’s Points Based System. Any candidate, who is considering applying for this position and requires sponsorship, must ensure that they are able to obtain permission to work in the UK through an appropriate immigration route.

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

Committed to equality and valuing diversity, 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.

Documents

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.

Additional information

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.