Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

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The Alan Turing Institute and its partners have invested more than £26m in digital twin research and innovation across a range of dynamic projects, including developing foundational theory and applications in the engineering, environmental and social sciences. This represents one of the largest and most exciting portfolios of academic digital twin research and innovation in the UK. To build on this activity, we are now establishing a new Turing Research and Innovation Cluster in Digital Twins (TRIC: DT).

The primary objective of the TRIC: DT will be to democratise access to digital twin technology by providing open and reproducible computational and social tools freely accessible to the UK research and innovation communities. This vision will be achieved by establishing knowledge exchange between a central Turing hub and a network of collaborators across the academic and private sectors.

We are recruiting a Senior Community Manager to lead on reproducibility, interoperability and communication efforts within the TRIC:DT to ensure access and democratisation of Digital Twin (DT) technology. They will support the curation, documentation and open sharing of concrete, compelling case studies that illustrate the power of DTs and act as exemplars for tool development for wider dissemination and provide nuclei around which we will build a national DT research community. The position holder will embed the expertise and missions of TPS, The Turing Way and broader open source communities into the initiative to enable knowledge exchange across all stakeholders. Their work will ensure that this investment delivers interdisciplinary collaborations and FAIR (findable, accessible, interoperable and reusable) outputs that are greater than the sum of their parts.

ROLE PURPOSE

The Senior Community Manager will create, nurture and protect the conditions required for successful technical communication across the diverse and distributed teams across projects. As a steward of their community, the Community Manager will see how individual pieces of work from different teams and three research focus areas (environment, infrastructure and health) fit together as a whole.

The postholder will report to TPS Theme Lead for Trustworthy Systems once they are in post and will work closely with Dr Malvika Sharan, TPS Senior Researcher for Open Research and lead of Community Management Team, Prof Ben Macarthur, Director of TRIC: DT and the Programme Co-Directors in TRIC: DT. They will also need to work closely with Research Application Managers, Research Engineers and Ethics Advisors for TRIC: DT once they are in post.

For further information about TRIC:DT please visit this website.

DUTIES AND AREAS OF RESPONSIBILITY

• Design and implement processes for interdisciplinary collaboration, co-creation and knowledge exchange by fostering a Community of Practice working in the TRIC:DT initiative. Embody the principle of being 'as open as possible, as closed as necessary' to maintain the balance between communicating concrete case studies from TRIC:DT and maintaining sensitive data security where necessary.
• In close collaboration with key members of TRIC:DT, support an active, national community of DT practitioners -- TRIC:DT researchers and external stakeholders, seeded around development partners, making use of Turing software. In doing so, ensure principles of good practice, reproducibility, interoperability, and open science are embedded in TRIC:DT research, and technical advances are shared across research focus areas.
• Lead the development of core values and ways of working which are shared, agreed and standardised across all three research focus areas – environment, infrastructure and health of TRIC:DT, including but not limited to maintaining transparency, reproducibility and inclusive collaborative working. In doing so, contribute to the overarching goals to empower the widespread use of DTs to deliver national societal and economic benefit.
• Catalyse connections and collaboration between researchers within the TRIC:DT projects.
• Design, organise and facilitate innovative, inclusive events - remote and in person - for a broad range of community members and collaborators.
• Review code, analysis, visualisation and infrastructure process documentation. Support community members to participate in collaborative review using pull requests (GitHub) or merge requests (GitLab).
• Promote the sustainable use of research outputs by facilitating high-quality analysis, modelling and reporting documentation, and training materials, in collaboration with researchers, developers and domain experts.

• PhD or equivalent level of industry experience.
• 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 basic coding skills in any programming language, Git for version control and Github or Gitlab for project management and experience managing, structuring and analysing research data
• Experience in open research, open source software, participatory and community-led co-creation or team science
• Knowledge of, or interest in learning about facilitating research using sensitive health data, or other sensitive data, including an understanding of information governance requirements
• Track record of publishing articles, FAIR data sets, and/or open source software libraries for an academic audience
• Outstanding communication skills, both oral and written with the ability to communicate more complex, specialist or conceptual information clearly and persuasively, presenting compelling arguments to influence.

TERMS AND CONDITIONS

This full time post is offered on a fixed term basis for 36 months. The annual salary is £49,025 - £52,000 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.

We are committed to building a diverse community and would like our leadership team to reflect this. We therefore welcome applications from the broadest spectrum of backgrounds.

We are committed to making sure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at [email protected] to find out how we can assist you.

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].

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. If you have questions about the role or would like to apply using a different format, please contact them on 020 3970 2148, or email [email protected].

CLOSING DATE FOR APPLICATIONS: 29 January 2023 at 23:59

If you are applying for more than one role at the Turing, please note that only one Cover Letter can be visible on your profile at one time. If you wish to apply for multiple roles and do not want to overwrite your existing Cover Letter, please apply for the role using the button below and forward your additional cover letter directly to [email protected] quoting the job title.

If you are an internal applicant and wish to apply, please send your CV and Cover Letter directly to [email protected] and your application will be considered.

We are committed to making sure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at [email protected] to find out how we can assist you.

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter.

We are currently assessing the results of our hybrid working trial, which ran for six months. We will soon publish a long-term workplace policy: as a guide, we anticipate this will be between 2-4 days per month. Some roles may require the jobholder to spend a greater number of days in the office, but the hiring manager will be able to confirm this during the interview.