Research Internship In Artificial Intelligence In Nursing Job - London - South East

Job Description

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 Intern in Artificial Intelligence in Nursing which is part of the AI Nurses Network funded by the Burdett Trust for Nursing. This internship will involve a number of key research tasks led by Dr Siobhan O?Connor. This specific internship is to assist the team with a scientific review exploring the ethical issues associated with artificial intelligence in nursing.

The internship involves: 1) assisting with screening research studies, 2) supporting data extraction from relevant research studies, 3) helping write up the scientific review, and 4) other ad-hoc duties as they arise. The intern will work with Dr O?Connor and the AI Nurses Network team to conduct the scientific review.

The role is based at the Faculty of Nursing, Midwifery and Palliative Care in the research division of Digital Health and Applied Technology Assessment. This division benefits from a multidisciplinary team comprising researchers, educators, health and care professionals, and patient and public involvement representatives.

Candidates should be highly motivated, with the ability to work independently and as part of a team. They should have excellent written and communication skills and be able to work and engage with multiple stakeholders. The intern will need to manage multiple deadlines and work independently to achieve these.

Qualifications

Skills, knowledge, and experience

Essential criteria

Enrolled in a pre-registration nursing programme at King?s College London.
Interest in nursing research and some understanding of research methods.
Excellent written and oral communication skills, including the ability to adapt communication to the situation.
Excellent time management skills with the ability to multitask and prioritise and complete work within deadlines.
Strong organisational and planning skills with proven ability to coordinate and deliver projects.
Ability to work independently as well as part of a multidisciplinary team.
A commitment to promoting equality, diversity and inclusivity for staff and students.

Desirable criteria

Research experience in digital health demonstrated by participation in delivery of research projects and authorship on academic publications.
Knowledge and experience in using research software such as Covidence, N-Vivo.
Research experience in Patient and Public Involvement and Engagement.

Skills

Key responsibilities

To assist with screening research studies using an online data management platform.
To support the extraction of data from relevant research studies in the review.
To help with the analyse of extracted data to generate results.
To assist with writing up the scientific review for publication.
To help with disseminating research results to a range of audiences.
To work collaboratively with the research team at King?s College London and with collaborating organisations.
Ensure confidentiality, research governance and data management in accordance with GCP guidelines.
To conduct appropriate risk assessments where necessary and to take responsibility for one?s own and others? health and safety.

The above list of responsibilities may not be exhaustive, and the intern will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

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