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Community Manager, Open Collaboration: AIM RSF

Closing date: 
Sunday, 6 February 2022

The Alan Turing Institute

The Alan Turing Institute has been awarded a grant by the National Institute for Health Research (NIHR) to deliver a Research Support Facility (RSF) for the £23 million Artificial Intelligence for Multiple Long Term Conditions (AIM) investment. The NIHR AIM RSF team will support researcher teams from around the UK in their efforts to systematically identify new clusters of disease and the development of conditions over the life course.

The NIHR AIM RSF will be delivered jointly between the Tools, Practices and Systems and Health and Medical Sciences programmes, with collaborators from Swansea University, MRC Harwell and the University of Edinburgh. Together they will build capacity and capability in AI and MLTC-M research, foster a collaborative approach and a culture of shared learning, and provide a leadership role to facilitate impact from the AIM investment. The team will use their convening power and expertise to maximise the scientific impact and potential for patient benefit through five themes:

  • Reproducible, secure and interoperable infrastructure
  • Accessible, research-ready data
  • Scientific community building and training
  • Public and patient involvement and engagement (PPI/E)
  • Sustainability and legacy

The Turing Way is an open source community-driven guide to reproducible, ethical, inclusive and collaborative data science. The project goal is to provide all the information that data scientists in academia, industry, government and the third sector need at the start of their projects to ensure that they are easy to reproduce and reuse at the end.

We are recruiting a Community Manager focused on Open Collaboration who will work to embed the expertise in the TPS, Turing Way and broader open source communities in the AIM consortium to ensure that this investment delivers FAIR (findable, accessible, interoperable and reusable) outputs that are greater than the sum of their parts.

https://cezanneondemand.intervieweb.it/turing/jobs/community_manager_open_collaboration_aim_rsf_19278/en/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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