Research Software Engineer

3 days left

London (Greater) (GB)
Grade 6: £38,304 - £45,026 per annum, including London Weighting Allowance
17 Dec 2020
End of advertisement period
24 Jan 2021
Contract Type
Fixed Term
Full Time

This is an exciting opportunity for a Research Software Engineer to work on the underlying models of key clinical hypotheses that will be fed into a decision support tool (DSS). The successful candidate will be using machine learning to extract analysis of the "clinical gap" of missing/delayed care, and factors predisposing lipid and CVD risk, which will be built into the neural networks powering the DSS application.

The successful candidate will work closely with other members of the Biomedical Informatics group in the School of Population Health and Environmental Sciences at King’s, as well as our partners in Metadvice Ltd, a digital health technology that uses AI tools to analyse cardiovascular diseases (CVD) and their implications for the NHS.

Successful candidate will have strong informatics background/experience and keen interest in medical research.

The Biomedical Informatics Group is dedicated to developing informatics methodologies to enable research at scale from Real World Data sources and the broader principle of Learning Health Systems. The work in group is focusing on reproducibility solutions based on data provenance, embedding clinical trials into routine practice, and decision support systems as means of implementing LHS in practice. An emerging stream is the use of social network data as another RWD source for research. The group is actively participating in Health Data Research UK (HDR UK) London site activities.

Metadvice ( is a UK-based digital healthcare company focused on simplifying the clinical management of complex diseases. The focus is on an AI-driven, clinical decision applications to ensure the care is truly personalised to the patient. Cardiovascular disease (CVD - including uncontrolled high cholesterol) is a main focus for Metadvice to subsequently proceed to other areas of clinical medicine.


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