The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of the scientist Alan Turing and its mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.

The Alan Turing Institute has worked with the Lloyds Register Foundation (LRF), a global charity supporting research, innovation, and education in engineering for over six years. Through this partnership, we have helped establish Data Centric Engineering (DCE) as a new field of research. This has achieved almost 400 publications; a new academic journal focussed on DCE and supported the development of a 3D printed bridge in Amsterdam and an underground farm in London.

The Alan Turing Institute will coordinate the work to consolidate and grow a global community of academia and industry specialists working in DCE. The project is composed of data scientists, engineers and practitioners who will help work across four pillars that will support the adoption of DCE innovations, creation of AI standards and regulation, improve skills and develop the community. The team will work closely with industry leaders, engineering bodies, academics and other stakeholders to facilitate the translation of DCE.

We are recruiting a Research Application Manager who will work to embed the expertise in the TPS, Turing Way, and broader open source communities, and ensure that the research outputs across the DCE programme are adopted successfully across multiple domains within academia, government, the charity sector and industry.

Role Purpose

A Research Application Manager (RAM) at the Turing builds and nurtures the connections with users of research outputs and brings back the user perspective to researchers and research engineers. We anticipate that the postholder will need to embody core values of legacy, adaptability, and collaboration, in addition to their commitment to equity and inclusion principles as described in the Turing’s Values (see below).

RAMs work in a dedicated team focused on ensuring that research outputs such as open source tools, protocols, and modelling frameworks are used successfully and sustainably by external stakeholders. As part of this broad mandate, the postholder will work on strengthening existing stakeholder relationships and identifying new potential users of research outputs. This work aims to maximise the impact of the programme through pull-through to adoption and ensuring it leaves a lasting legacy on the ecosystem.

Duties And Areas Of Responsibility

• Drive the Institute's efforts to maximise the impact of the DCE programme. Ensure that the outputs of the research process are translated into appropriate real-world implementations
• Catalyse connections and collaboration between users and researchers. This could come in the form of synchronous regular meetings or it could occur asynchronously, for example, through active engagement on distributed communication channels such as Slack and the maintenance of public and private GitHub repositories to documented ongoing work within the projects.
• Be an active community member of The Turing Way project. This may include writing new content, reviewing existing chapters, or giving presentations about the project to new audiences. We expect all RAMs to attend regular co-working sessions and participate in discussions on research best practices across a project lifecycle.
• Build connections between DCE researchers and the Institute's Research Engineering Group.
• Work with Turing Communications team to promote achievements and capabilities in a way which is meaningful for stakeholders across relevant sectors.

• Hold a Bachelor’s degree or a Master’s Degree in a discipline which provides a good basis for understanding statistics, data science and programming.
• Experience in stakeholder engagement, for instance, experience working with consortium partners, research collaborators, delivery partners, or clients.
• Experience with basic coding skills in any programming language.
• Knowledge of, or interest in learning about, reproducible research
• Track record of excellent problem solving skills, ideally in settings which require multiple domain specialist cooperation.

Please see the job description for a full breakdown of the duties, responsibilities and person specification

APPLICATION PROCEDURE

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. Please also include a 500-word writing sample about a data science tool or dataset that you recommend for others. If you have questions about the role or would like to apply using a different format, please contact them on 020 3862 3575 or 0203 862 3340, or email [email protected].

CLOSING DATE FOR APPLICATIONS: 29 August 2022 at 23:59

TERMS AND CONDITIONS

This role is offered on a full time five-year, fixed-term contract.

Location: the Alan Turing Institute, the British Library, 96 Euston Road, London

Salary: £49,025 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

EQUALITY, DIVERSITY AND INCLUSION

The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.

Reasonable adjustments to the interview process will be made for any candidates with a disability.

Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.

Full details on the pre-employment screening process can be requested from [email protected].