Research Associate: Data Science For Health

University College London - UCL Institute for Risk and Disaster Reduction (IRDR)

The appointment will be on UCL Grade 7. The salary range will be £34,056 - £41,163 per annum, inclusive of London Allowance.

University College London (UCL) is is London's leading multidisciplinary university, with approximately 11,000 staff and 38,000 students from 150 different countries. UCL operates in a global context and is committed to excellence, innovation and the promotion of global understanding in all activities: research, teaching, learning, enterprise and community engagement. The UCL Institute for Risk and Disaster Reduction (IRDR) is a cross-UCL Institute, which aims to lead research, knowledge exchange and advanced teaching in the area of risk and disaster reduction (RDR). The postholder will be based in the UCL IRDR working with Dr Kostkova's digital health group on three digital global health projects in Low and Middle Income Settings (LMIC): (1) the GASDA project – a gamified antimicrobial stewardship (AMS) decision support app for prescribing behaviour change, (2) the MANTRA project developing an app for women’s resilience in Nepal and (3) a gamified app for community engagement in Brazil. The role will include research into data science and dashboard visualisation for healthcare professionals and decision makers in Nigeria, Nepal and Brazil and other LMIC and the development of a cross-platform app for a decision tree and gamification for sample infection control policies and guidelines. This post is funded until November 2018 in the first instance.

The candidate should have a higher degree (preferably PhD) in computer science, expertise in data science, game analytics and visualisation dashboards, excellent programming skills, ability to conduct research into data analytics, healthcare app and visualisation independently and conduct assessment with healthcare professionals in the UK and LMIC.

UCL vacancy reference: 1660021

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the vacancy or the application process, please contact Dr Patty Kostkova,  

Latest time for the submission of applications: 23:59.
Interview Date: TBC

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