Research Associate

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Short info about job

Company: Imperial College London

Department: Department of Infectious Disease Epidemiology

Salary: £36,800 to £44,220 per annum

Hours: Full Time

Contract type: Fixed-Term/Contract

Type / Role: Academic or Research

Phone: +44-1505 8629180

Fax: +44-1285 7753295

E-mail: N\A


Detail information about job Research Associate. Terms and conditions vacancy

Imperial School of Public Health (SPH) combines world-class research with translation into policy and practice. Through research, teaching and policy work, the SPH aims to address major public health challenges of the 21st century.

The Patient Experience Research Centre (PERC) of the NIHR Imperial Biomedical Research Centre (BRC) is a small group of clinicians, epidemiologists and social scientists undertaking research on involvement and engagement in translational research.

‘People Like You’ is a 4-year Wellcome Trust-supported Collaborative Project in the Medical Humanities awarded to Professors Sophie Day (Goldsmiths, Anthropology), Celia Lury (Warwick University, Centre for Interdisciplinary Methodologies) and Helen Ward (Imperial College London, School of Public Health). It aims to establish the cultural significance of new methods for specifying and portraying people precisely across a range of settings: health care and data science and selected practices in digital culture. We will develop an interdisciplinary figural analysis in collaboration with three creative practitioners (poetry, portraiture and digital media) to put the ‘person’ back into personalisation and relate people to the data collected from them and on their behalf.

This post is one of 3 postdoctoral research associates sought for the project (at Goldsmiths, Warwick and Imperial College, see

Under the day-to-day guidance of Professor Helen Ward, you will conduct research into data science at Imperial College Academic Health Sciences Centre, ideally combining an ethnographic approach with an understanding of the methods used in data science. This will inform a critical understanding of how biological and other data from individuals are aggregated, processed, analysed and reported in the process of creating new categories of ‘people like you’ to inform treatment and prediction. You will collaborate closely with the project team on personalisation in breast cancer services, HIV services and digital culture as well as public-facing elements of the project such as our website, events and meetings.

It is essential that the successful candidates have a PhD in a relevant field such as social (e.g. science and technology studies, anthropology, sociology) or data science (e.g. computer science, AI, machine learning); proven experience in a relevant research area and experience of organising, undertaking and analysing empirical research. They will need a track record of publications and collaborative work in their field.

This is a full-time, fixed term post for 4 years from 8 January 2018 based at the St Mary’s Campus, Paddington. Applications for part-time/ flexible working will be considered.

For informal enquiries, please contact Professor Helen Ward – [email protected]

Interview date: week beginning 16 October 2017

Imperial Expectations guide the behaviour of all our staff.

Our preferred method of application is online via our website at (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number SM106-17KO.

Should you have any queries please contact: Professor Helen Ward – [email protected]

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

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