Health Data Scientist (KTP Associate)

The University of Essex, in partnership with Intensive Care National Audit & Research Centre (ICNARC), is offering a graduate with the relevant skills and knowledge to develop novel data visualisation, dynamic reporting and accessibility frameworks, increasing accessibility and interaction with ICNARC’s national clinical audit data.

This post is fixed term for 33 months and is based at ICNARC’s offices in London. ICNARC operate a hybrid working model with an expectation that staff attend the office on at least two days per week.

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.

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.

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.

BENEFITS
As a KTP Associate, the post will offer the following benefits:
• A personal development budget of £5500 (exclusive of salary).
• Management training and mentoring by an Innovate UK KTP Adviser.
• An interesting and challenging role, with exposure to a variety of stakeholders.
• Full access to University resources to complete the project.
• World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

To develop novel data visualisation and accessibility frameworks, for the purpose of increasing accessibility and interaction of intensive care health outcomes data.