421 Research Nurses jobs in the United Kingdom

Exciting Nursing Roles in Cutting-Edge Clinical Research

Are you a newly qualified or experienced Adult Nurse looking to step into the world of clinical trials? Join the Medicines Evaluation Unit (MEU) and work with some of the most distinguished pharmaceutical companies in the UK and internationally.

We have exciting vacancies in Manchester , offering a rewarding opportunity to develop and diversify.

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Building on our track record of delivering pioneering research we are working in collaboration with Cambridge University Hospitals NHS Trust, University of Cambridge and the Cancer Research UK (CRUK) Queen Mary University of London Cancer Prevention Trials Unit (CPTU) to deliver a clinical trial into the early detection of Oesophageal Cancer, the BEST4 Screening Study.  

This is an exciting project funded by CRUK and the National Institute for Health Research (NIHR). The trial aims to determine whether the Capsule Sponge test can be used to determine early diagnosis of cancer of the oesophagus and reduce the number of deaths due to oesophageal cancer.   

The BEST4 screening study will recruit 120,000 participants, of  whom will be invited to receive the Capsule Sponge test on the BEST4 mobile units located in approximately 5 regions across the UK. To support this study, we are recruiting Clinical Research Nurses to work across different locations (within a designated region). This is an exciting opportunity to be involved in a ground-breaking clinical trial and work across different locations carrying out clinical trial activities to ensure the successful delivery and recruitment of the BEST4 study.   

You will be responsible for managing clinics on the BEST4 mobile unit and will be trained to administer the Capsule Sponge test. You will work alongside established clinical teams, researchers, research nurses and administrators to facilitate recruitment, sample collection, data entry and providing clinical support as required. You will therefore be required to travel to various sites and undertake clinics in a mobile unit.  

You will also need to liaise closely with the clinic coordinator regarding appointments and cover on the unit. You will work closely with the Clinical Coordinator, Clinical Research Team and Project managers at QMUL, Cambridge and EMS to ensure we meet the study objectives. You will be responsible for ensuring clinical and regulatory compliance, and that each participant journey and their individual experience is to the highest standard, which is a vital part of this role.  

Requirements

We seek a motivated, enthusiastic and flexible candidate to join the BEST4 team. This is a clinical patient facing post, which requires a dynamic individual who can work both independently and as part of a team. 

A full programme of induction and ongoing support will be provided to the successful candidate. 

Main duties include: 

• Managing the clinic on the BEST4 mobile unit
• Promote and nurture a welcoming, professional and pleasant environment for all participants. 
• Be able to provide and receive complex information in the process of explaining study involvement and obtaining informed consent.   
• Complete the BEST4 participant screening visit as per study protocol.  
• To confirm the participant is safe and able to take part in the study. Complete the informed consent process with the participant prior to the Capsule Sponge test.  
• To complete the Capsule Sponge test on the participant.   
• Work autonomously to manage their caseload of participants, whilst working as part of a wider BEST4 research team.  
• Perform other clinical skills, as required, to care for participants during their study visit (e.g. emergency practices). 
• Work in accordance with local policy and procedures and be able to take appropriate action in case of emergencies (detachment, bleeding, resuscitation or anaphylactic reaction) 
• Ensure that mandatory training is kept up to date as per local policies and requirements.  
• Work closely with the BEST4 clinical coordinator to address areas where re-training in Capsule Sponge test administration might be required. 
• Responsible for Inputting and  data onto the electronic Case Report Form (eCRF) and other related research databases as required.  
• Collects, records, verifies and enters study data with a high degree of accuracy and in accordance with the principles of ICH Good Clinical Practice (ICH GCP). 
• Work in accordance with regulations as described in ICH-GCP, National Directives and Research Governance of Cambridge University, the Trusts, CPTU and EMS Healthcare policies and procedures. 
• To identify potential barriers to recruitment and be involved in implementing action/plans as required. 
• Facilitate and maintain effective communication with the study team, BEST4 Research Nurses and study participants. To attend and contribute to meetings relevant to the BEST4 study and mobile units.  
• Liaise with various study personnel at Cambridge University Hospitals NHS Trust, University of Cambridge, CPTU and EMS Healthcare as necessary. 
• Responsible for driving the BEST4 mobile units to the different research sites as per the study schedule. 

Criteria - Essential:

• Registered nurse (NMC Registration) 
• Continued CPD 
• Previous research experience or Upper GI experience 
• Significant post-registration clinical experience 
•  Experience in performing nurse-led clinics.
• A good understanding of clinical research  
• Excellent interpersonal and communication skills (verbal/written)  
• Ability to work accurately and methodically with excellent attention to detail. 
• A team player, whilst possessing ability to work independently and on their own initiative. 
• High level of organisational and time management skills. 
• Excellent IT knowledge / skills and proficient in MS Office Software. 
• Full, Clean UK Driving Licence
• Willing to travel and complete overnight stays as required.
• Motivated and enthusiastic 

Criteria - Desirable

• Degree in a related subject area 
• ICH GCP Training 
• Knowledge of research regulations at national level. 
• Prior experience in cancer research and endoscopy.  
• Prior experience of working with Capsule Sponge device.  

Benefits

You work hard for us; we work hard for you. It is that simple. And we know, it sounds too good to be true (we hear that a lot). But trust us, this could be the best decision you make. 

• Bank holidays, plus 25 days annual leave, increasing to 28 after 5 years 

• 1 Occasion Day each year; this could be your child’s first day of school, their nativity play, or your own birthday – the choice is yours! 

• Healthshield 

• Subsidised company events and gatherings  

• A gift for your birthday  

• Well being support from our qualified Mental Health First Aiders, as well as via our health scheme 

If you want to join us as our Clinical Research Nurse - click apply now!

• Recruit participants for cardiology-focused clinical trials.
• Obtain informed consent from potential study participants.
• Conduct comprehensive physical assessments and health history reviews.
• Administer investigational drugs and study interventions as per protocol.
• Collect, process, and manage biological samples (blood, urine, etc.).
• Perform and interpret ECGs and other cardiac monitoring procedures.
• Monitor participants for adverse events and report findings promptly.
• Maintain accurate and detailed study documentation in compliance with GCP.
• Educate participants and their families about study procedures and expectations.
• Collaborate effectively with PIs, study teams, and other healthcare professionals.
• Ensure adherence to all study protocols and regulatory guidelines.
• Manage study-related supplies and equipment.

• Registered Nurse (RN) qualification.
• Valid NMC registration.
• Significant experience in cardiology nursing or cardiac care.
• Previous experience in clinical research is highly desirable.
• Knowledge of Good Clinical Practice (GCP) guidelines.
• Proficiency in performing ECGs and other cardiac diagnostic tests.
• Excellent clinical assessment and patient care skills.
• Strong attention to detail and organizational abilities.
• Effective communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Proficiency in using electronic data capture systems.
• Commitment to maintaining participant confidentiality and safety.

• Lead the design and execution of research projects focused on AI-driven healthcare solutions, including medical imaging analysis, predictive diagnostics, drug discovery, and personalised medicine.
• Develop and implement advanced machine learning and deep learning models to analyse large and complex healthcare datasets.
• Evaluate and validate AI models for clinical relevance and performance, ensuring accuracy and reliability.
• Publish research findings in top-tier scientific journals and present at international conferences.
• Mentor and guide junior research scientists and collaborate effectively with cross-functional teams.
• Identify and pursue new research opportunities and funding sources.
• Stay abreast of the latest advancements in AI, machine learning, and healthcare technologies.
• Contribute to the intellectual property strategy of the organisation.
• Ensure compliance with ethical guidelines and regulatory requirements in healthcare research.

• Lead cutting-edge research projects in AI for healthcare applications, from conception to validation.
• Develop and implement advanced machine learning and deep learning models for areas such as medical imaging analysis, genomics, drug discovery, and clinical trial optimisation.
• Mentor and guide a team of junior researchers and data scientists, fostering a collaborative and innovative research environment.
• Author high-quality research papers for submission to leading peer-reviewed journals and conferences.
• Contribute to the development of intellectual property, including patent filings.
• Collaborate with cross-functional teams, including clinicians, bioinformaticians, and software engineers, to translate research findings into practical solutions.
• Stay abreast of the latest advancements in AI, machine learning, and healthcare research globally.
• Present research findings to internal stakeholders, scientific communities, and potential partners.
• Manage research budgets and project timelines effectively.
• Contribute to grant writing and proposal development.
• Ensure compliance with ethical guidelines and data privacy regulations in research.

• Ph.D. in Computer Science, Artificial Intelligence, Bioinformatics, Statistics, or a closely related quantitative field.
• Minimum of 8 years of post-doctoral research experience in AI/Machine Learning, with a significant focus on healthcare or biomedical applications.
• Demonstrated expertise in developing and deploying complex ML/DL models (e.g., CNNs, RNNs, Transformers) using frameworks like TensorFlow, PyTorch, or Keras.
• Strong publication record in top-tier AI and/or healthcare conferences and journals.
• Proven experience in leading research teams and managing complex research projects.
• Expertise in data analysis, statistical modelling, and programming in languages such as Python or R.
• Familiarity with healthcare data types (e.g., EMR, genomics, imaging) and associated challenges.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and interpersonal skills, with the ability to articulate complex scientific concepts clearly.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is desirable.
• Understanding of regulatory pathways for AI in healthcare is a plus.

• Defining and leading innovative research programs in AI for medical imaging, genomics, or drug discovery.
• Designing and implementing advanced machine learning algorithms and models tailored for healthcare data.
• Managing and mentoring a research team, fostering a collaborative and intellectually stimulating environment.
• Securing research funding through grant proposals and industry partnerships.
• Disseminating research findings through publications in high-impact journals and presentations at international conferences.
• Collaborating with clinical experts and stakeholders to ensure research relevance and translation.
• Developing and validating new diagnostic or prognostic tools based on AI.
• Overseeing data acquisition, preprocessing, and ethical handling of sensitive patient information.
• Staying at the forefront of scientific literature and technological advancements in AI and medical research.
• Contributing to the strategic direction of the research department.

• Design and execute groundbreaking research projects in AI/ML for healthcare, focusing on areas such as medical imaging analysis, predictive diagnostics, and drug discovery.
• Develop, validate, and deploy sophisticated machine learning models, employing techniques like deep learning, natural language processing, and reinforcement learning.
• Collaborate with a multidisciplinary team of clinicians, data scientists, and bioinformaticians to translate research findings into tangible healthcare solutions.
• Publish high-impact research in leading scientific journals and present findings at international conferences.
• Secure research grants and funding to support ongoing and future projects.
• Mentor and guide junior research staff, fostering a culture of scientific excellence and innovation.
• Stay abreast of the latest advancements in AI and healthcare research, identifying emerging trends and opportunities.
• Contribute to the strategic direction of the R&D department, shaping the future of AI in medicine.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a closely related field.
• A minimum of 8 years of post-doctoral research experience with a proven track record of significant contributions to AI/ML in healthcare.
• Demonstrated expertise in developing and implementing advanced AI/ML algorithms, with a strong publication record.
• Experience with medical imaging modalities (e.g., MRI, CT, X-ray) and associated analysis techniques is highly desirable.
• Proficiency in programming languages such as Python, R, and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of clinical workflows and healthcare data privacy regulations (e.g., GDPR, HIPAA).
• Excellent leadership, communication, and collaboration skills, with the ability to inspire and guide research teams.
• Ability to work effectively in both a team-oriented and an independent research environment.

• Lead and conduct advanced research in AI/ML for healthcare applications.
• Develop and validate novel AI algorithms and predictive models for disease diagnosis, prognosis, and treatment optimization.
• Analyze and interpret complex biological and clinical datasets using advanced statistical and computational methods.
• Design and implement research protocols, ensuring adherence to scientific rigor and ethical standards.
• Collaborate with interdisciplinary teams including clinicians, data scientists, and software engineers.
• Author high-impact research papers and present findings at international conferences.
• Mentor and guide junior research staff, fostering a collaborative and innovative research environment.
• Evaluate and integrate emerging AI technologies and methodologies into research projects.
• Contribute to grant proposals and secure research funding.

• PhD in Computer Science, Biomedical Engineering, Statistics, or a related field with a strong focus on AI/ML.
• Minimum of 5 years of post-doctoral research experience in applying AI/ML to healthcare or life sciences.
• Demonstrated track record of publications in top-tier peer-reviewed journals and conferences.
• Expertise in programming languages such as Python or R, and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with medical imaging analysis, genomics, or electronic health records (EHR) data is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to articulate complex scientific concepts clearly.
• Experience working in a hybrid research environment.