Research Associate – Imperial College London

UK
Posted 4 months ago

This post is for an experienced researcher who will lead a project aimed at designing personalised treatment strategies and identifying endotypes for allergic disease (asthma and eczema), using mechanistic modelling and model-based machine learning. We will develop a mechanistic model (in silico) by integrating clinical data (in vivo) and experimental data (in vitro). You will join the team of enthusiastic researchers including computational.

Job listing information

  • Reference ENG01705
  • Date posted 18 May 2021
  • Closing date 15 June 2021
  • LocationSouth Kensington Campus
  • Position typeFull time, fixed term
  • Salary£40,858 – £48,340 plus benefits
  • Department Department of Bioengineering
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

This post is for an experienced researcher who will lead a project aimed at designing personalised treatment strategies and identifying endotypes for allergic disease (asthma and eczema), using mechanistic modelling and model-based machine learning. We will develop a mechanistic model (in silico) by integrating clinical data (in vivo) and experimental data (in vitro).

You will join the team of enthusiastic researchers including computational biologists, mathematicians, experimentalists and clinicians.

Duties and responsibilities

The main responsibilities of this post will include development of data-driven mechanistic models to design personalised treatment strategies for chronic allergic disease (asthma and eczema). You will plan, lead and carry out a high-quality research programme in systems medicine. More information on research activities in Dr Tanaka’s group is found in http://www.bg.ic.ac.uk/research/r.tanaka.

Essential requirements

We look for highly motivated applicants with excellent interpersonal, written and oral communication skills and enthusiasm for exposure to a diversity of scientific projects.

You should have a PhD degree in systems biology, applied mathematics, control engineering or a closely related discipline. The applicants should have previous experience in statistical and machine learning methods and knowledge in basic biology.

Further information

Interested candidates are encouraged to contact Dr Reiko Tanaka (r.tanaka@imperial.ac.uk) for informal enquiries about the post.

Imperial College London is a science-based institution with the greatest concentration of high-impact research of any major UK university.  The Faculty of Engineering, consistently rated among the best in the world, is made up of 10 academic departments and is committed to increasing its research activity by focusing on engineering-led multidisciplinary growth areas that target a number of global challenges. The Department of Bioengineering is located on a campus in South Kensington, giving a concentration of talent that creates a stimulating and vibrant research community. You can find out more about our staff benefits, including generous annual leave entitlements and our excellent professional development opportunities, here: http://www.imperial.ac.uk/job-applicants/staff-benefits/.

Any queries regarding the application process should be directed to Jo Adam, i.adam@imperial.ac.uk.

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.

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

Job Features

Job CategoryResearch Associate