We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
The Role
This is an exciting opportunity for a proactive Researcher to join the Innovation Observatory a £16M initiative, funded by the National Institute for Health Research, based at Newcastle University with an academic home in the Population Health Sciences Institute. You will contribute to research shaping and developing novel AI tools.
The Observatory brings together information specialists, data scientists, text mining, horizon scanning and evidence synthesis researchers to provide essential intelligence to several national agencies, whilst developing new methodology and novel AI tools. Our outputs support our stakeholders (and others) to make informed decisions about the innovation pipeline and access to innovation. As part of a large multi-disciplinary team, you will contribute to the delivery of a range of Evidence Synthesis Group research projects and the National Institute for Health Research Innovation Observatory (NIHRIO), Population Health Sciences Institute at Newcastle University.
You will be a health data scientist/researcher with experience of combining and integrating evidence synthesis methods with AI methods to support novel tool development and translational insights.
This post is available fixed term initially for 2 years.
For informal queries contact: Dawn Craig by email at: [email protected] or [email protected] .
Key Accountabilities
- Conduct research in health data science, with a particular focus on combining and integrating evidence synthesis methods with intelligent natural language processing (NLP) tools to develop new translational insights.
- Contribute to the design, development, and deployment of novel AI-based data science tools to support Innovation Observatory processes and external (i.e., public) facing outputs.
- Undertake multi-disciplinary research at the intersection of computer and data science, health innovation horizon scanning, and evidence synthesis methods.
- Support the identification of critical/unmet needs for adapting, translating and/or integrating new and emerging analytic methods to support secondary public health and social care research.
- Contribute to the writing and dissemination of research findings and outputs via peer-reviewed publications, seminars, national and international scientific conferences and other contemporary approaches to public and stakeholder engagement.
- Maintain and develop research skills by participating in research seminars, journal clubs and short-courses as appropriate.
- Be willing and able to communicate complex technical solutions to non-technical stakeholders (both internally and externally).
- Regularly attend (physically or electronically) and actively contribute to internal and external meetings.
- Carry out administrative tasks and other duties to support the Innovation Observatory/Evidence Synthesis Group as required by the Director (NIHRIO) or Dean (NUPHSI).
Qualifications
- A PhD in Computer Science or Data Science (or a closely-related subject).
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