Research Associate in Health Informatics
King's College London - Division of Health and Social Care Research
|Salary:||£32,958 to £36,001 Grade 6 p.a.|
|Contract Type:||Contract / Temporary|
|Placed on:||11th January 2017|
|Closes:||9th February 2017|
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The salary will be paid at Grade 6, £32,958 to £36,001 per annum, plus £2,623 per annum London Allowance depending on qualifications
This post will be fixed term for 2 years.
The Division of Health and Social Care Research (www.kcl.ac.uk/hscr) is seeking to appoint a Research Associate in Health Informatics to join the RobotReviewer project (www.robotreviewer.net), 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 (firstname.lastname@example.org).
To apply for this role, please go to the King’s College London HireWire Job Board and register to download and submit the specified application form.
The deadline for applications is midnight on 9 February 2017.
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