Research Assistant (Clinical Research Network)

at  Kings College London

Job id: 094946. Salary: £37,332 per annum, including London Weighting Allowance.
Posted: 30 August 2024. Closing date: 15 September 2024.
Business unit: Nursing, Midwifery & Palliative Care. Department: Digital Health & Applied Tech Assessment.
Contact details: Dr Siobhan O’Connor. siobhan.oconnor@kcl.ac.uk
Location: Waterloo Campus. Category: Research.
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About Us
King’s College London is a leading University with nine Faculties. As part of King’s Health Partners, we have an excellent environment for health care interaction and a strong focus on mentoring and career development.
The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best mark possible), research papers rated 4, impact rated 4, environment rated 4*(joint), Grade Point Average and Power. REF2021 rated as world-leading: 100% of our environment, 86% of our impact and 70% of our research overall. Over 95% of our research overall was rated as world-leading or internationally excellent.
For the last six years, King’s has been number 2 in the world and number 1 in Europe for Nursing (QS world rankings). King’s produces more highly cited research outputs (top 1% citations) on palliative care than any other centre internationally (SciVal) and is second in the world on the same metric for nursing and midwifery. King’s is the largest provider of health care education in Europe.
The Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care (NMPC) is based in the heart of central and south London. It includes the Cicely Saunders Institute for Palliative Care, Policy & Rehabilitation, the premier Institute for Palliative Care, bringing together clinical, research and education teams.
Our applied clinical and health multidisciplinary research transforms therapies, the healthcare experience and outcomes for patients and those important to them, wherever they are cared for. Our award-winning NMPC education programmes span pre-registration nursing and midwifery, and multidisciplinary post-graduate taught and research programmes.
We are committed to staff development and offer opportunities to identify and access appropriate training and professional growth.
About the role
We are really pleased to offer this excellent opportunity to join our team in the Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care as a Research Assistant (Clinical Research Network) working on the AI Nurses project, funded by the Burdett Trust for Nursing. Led by Dr O’Connor, the AI Nurses network is setting up and running a clinical research network on artificial intelligence (AI) in nursing. Adopting a community-building approach the network will support and enhance engagement between the nursing and AI communities in the UK by hosting community events, funding pilot projects, and creating resources to support the use of AI across the breadth of the nursing profession.
This post will involve a number of key coordination and communication tasks including but not limited assisting with and coordinating the day-to-day activities of the AI Nurses network, contributing to key objectives and deliverables for the network, planning, supporting the application, evaluation and monitoring of seed funded projects, and contributing to a range of digital communication activities and dissemination events. The role will also hold responsibility for supporting the provision of AI education and training, coordinating patient and public involvement and engagement, and working closely with the wider team to prepare data, information and reports for a range of stakeholders.
This is a part-time post (21 Hours per week), and you will be offered a fixed term contract until 31st October 2025 or up to 12 months, whichever comes first.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• Degree in digital communications, media, health, or related sciences awarded to a high level (e.g., first or 2:1)
• Highly organised, self-motivated, ability to work independently as well as part of a team, ability to work to tight deadlines and prioritise competing workloads
• Excellent written and verbal communication skills, including the ability to adapt communication to the situation. Experience in contributing to high quality reports or scientific papers, demonstrating attention to detail and accuracy
• Excellent time management skills with the ability to multitask and prioritise and complete work within deadlines, in particular supporting the provision of online and in person education and training
• Ability to coordinate and deliver projects, in particular facilitating the seed funding process including project applications, evaluation, and monitoring
• Experience in monitoring feedback on and responding to queries to ensure a positive experience for all members of the AI Nurses network
• Ability to plan, create, and schedule engaging digital content and communications for the project website, social media, and other media outlets
• Utilise user analytics and user research to measure performance of digital communications and make improvements to the network, preparing reports which demonstrate outcomes
• Demonstrates a commitment to promoting equality, diversity, and inclusivity for staff and students

Desirable criteria

• MSc in relevant subject (e.g., Digital Communications, Media, or Health Sciences)
• Experience in clinical research (quantitative, qualitative or mixed methods)
• Experience in supporting Patient and Public Involvement and Engagement (PPIE)

Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “

Please refer the Job description for details