King's College London

Research Associate in Health Informatics in Primary Care and Public Health Sciences

Reference: THW/17/059639/000024
Salary Details: £32,958 to £36,001 per annum
Allowances: plus £2,623 London Allowance
Contract Type: Temporary/Fixed term
Contract Term: Full time

The Division of Health and Social Care Research ( is seeking to appoint a Research Associate in Health Informatics to join the RobotReviewer project (, which uses machine learning to automate evidence synthesis in health. The project is a UK/US collaboration funded by the US National Institutes of Health/National Library of Medicine.

Candidates should hold a PhD (in computer science, statistics, artificial intelligence, life sciences, or a related subject) or substantial equivalent experience (working in a research capacity in industry with a focus on the same subject areas). The successful candidate will participate in all aspects of the research, including developing and evaluating novel machine learning algorithms, writing research articles for publication, and contributing to the development of our open source software. S/he will be proficient in one or more general purpose programming languages, and ideally will have experience of using our current toolset (Python, Scikit-learn, Keras, and Theano). The ideal candidate will not only possess technical expertise, but also knowledge of Evidence Based Medicine and systematic reviews.

The selection process will include a skills assessment and a panel interview.

Informal enquiries about the role is welcome, please contact Iain Marshall by email if you have any questions (

The deadline for applications is midnight on 9 February 2017.

This post will be fixed term for 2 years.

This is a full-time position.

Closing date: 09 February 2017

Job Pack | (Word Document 270k)

If you have questions about this role, please contact: Iain Marshall, Email:,

Application form:

Note: Only one document can be uploaded. If you wish to submit any additional information please include it within the application form.
Download Academic & Research Application Form