KTP
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at:www.ktponline.org.uk.
THE PROJECT
The University of Essex, in partnership with Intensive Care National Audit & Research Centre (ICNARC), offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop novel data visualisation, dynamic reporting and accessibility frameworks, for the purpose of increasing accessibility and interaction with ICNARC’s national clinical audit data. ICNARC is a small, independent, nationally and internationally respected, scientific, not-for-profit organisation (c60 staff), that uses accurate data to help improve the quality of critical care through clinical audit, research and education. Further information about ICNARC and its clinical audits can be found athttps://www.icnarc.org.
This post is fixed term for 33 months and is based at ICNARC’s offices in London.
DUTIES OF THE POST
The duties of the post will include:
- Data ingestion, management and pre-processing.
- Creating a suite of visualisation, web-based applications, and UI tools which are accessible for both lay and expert readers of the data.
- Delivery of a scenario modelling approach for measuring impact of changes in practice.
- Collection, analysis and enaction of user feedback.
- Contributing to the creation and publication of research.
- Ensuring the KTP project follows necessary change management and implementation of best practice.
- Communicating internally how the changes in data management will enrich in-house analytics.
- Working between statistics and development teams to ensure effective 'soft' knowledge transfer on a continuous basis via paired programming and shadowing.
KEY REQUIREMENTS
- An MSc or PhD in a relevant discipline (Data Science, Data Analytics, Biostatistics, Epidemiology etc) and evidence of at least some involvement in publishing research.
- A strong interest in health applications of data science.
- A strong track record of working with data, statistics, and modelling in a research context.
- Knowledge of statistical modelling techniques with preference for application in health (including machine learning and time series analysis).
- Experience of building interactive data visualisation, and dashboard tools.
- Proficiency in R, with expertise in advanced libraries for data visualisation and dynamic reporting, including ggplot2, R Markdown, and Shiny; knowledge of SQL (knowledge of Python would be advantageous).
- Strong storytelling skills, with the ability to craft compelling narratives that effectively convey complex data analytics insights and engage diverse audiences, including non-technical stakeholders.
- Excellent motivation and attention to detail.
- Ability to process feedback from clinicians/stakeholders on design and accessibility.
- Ability to collaborate with people with different backgrounds and from different organisations.
- Experience of the charitable and/or healthcare sectors would be advantageous.
- Excellent written and oral communication skills.
- Ability to work independently and as part of a team.
- A demonstrated interest in open and reproducible computational research is desirable.
Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here.
Our websitehttp://www.essex.ac.ukcontains more information about the University of Essex. If you have a disability and would like information in a different format, please email .
£42,300 to £46,000 per annum
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