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Research Fellow (Qualitative Mixed Methods)
Ref. 50052254

Salary: REB - £40,173 to £44,615 per annum (Inc. LWA)

Department: School of Computer Science and Engineering

Location: Central London

This post is fixed-term until 31 July 2021.  

Founded as Britain's first polytechnic in 1838, the University of Westminster has since developed into a university which is closely involved in business, professional and academic life within London, as well as overseas. 

With funding from the Quintin Hogg Trust and the Higher Education Innovation Fund, the University is putting significant investment into the development of the Health Innovation Ecosystem (HIE). The HIE is an innovative interdisciplinary programme to tackle global challenges in health, with ambition to become a hub for world leading research and knowledge exchange for innovation in health and wellbeing by 2022.

The Ecosystem focuses on huge issues facing the healthcare sector including; how do we define and measure health? What innovations can help people to lead healthier lives? How can we ensure more efficient hospital and primary care referrals? How can technology, advanced analytics, data science, machine learning, new imaging technology and artificial intelligence help? How do we measure and evaluate new interventions? How do we incorporate these into traditional health approaches in an effective and positive manner?
As a (qualitative) mixed methods researcher, you will have key role in the Health Innovation Ecosystem and work on projects requiring the development and application of qualitative mixed methods to evaluate services or to develop recommendations to assist with their design or redesign.

You are expected to hold a PhD in in an area of health or social sciences involving mixed research methods. You will have experience of using a range of methods for collecting qualitative data and appropriate software to aid data analysis e.g. NVivo. You will have expertise in different qualitative data analysis approaches and be confident is meaningfully triangulating data from a variety of sources (qualitative and quantitative). You will be familiar with traditional and pragmatic approaches to research and evaluation. You will have a publication track record in relevant areas. Previous involvement in writing research or consultancy bids is also desirable.

For an informal discussion about this post, please contact Prof Thierry Chaussalet (chausst@westminster.ac.uk), Dr Marie Polley (M.Polley01@westminster.ac.uk), or Prof David Peters (petersd@westminster.ac.uk), by e-mail in the first instance.

To apply for this vacancy, please click above. Further information is included in the job description and person specification, which can be accessed through link below. 

Closing date: midnight on 27 August 2018

Interviews are likely to be held between 5 and 12 September 2018

Administrative contact (for queries only): Recruitment@westminster.ac.uk 

Please note: We are unable to accept applications by email. All applications must be made online. CV’s in isolation or incomplete application forms will not be accepted. 

We are fortunate to receive a large number of applications for our vacancies. Regrettably, we are not able to provide feedback to those job applicants who are not shortlisted, as it simply would not be manageable to do so. 

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