Support worker / Healthcare assistant

ST10 1NS Cheadle, West Midlands £12 - £23 hour Medacs Healthcare

Posted 1 day ago

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️ Support Workers - Winter Pressure Shifts at Cheadle Community Hospital Shifts Available from 1st December - Book on the Day!

Cheadle Community Hospital is preparing for the winter season and we're looking for caring, reliable Support Workers to join our team. With winter pressure shifts available from 1st December , this is a fantastic opportunity to make a real difference in your local community while gaining valuable experience in a supportive environment.

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Support worker , Healthcare assistant

ST6 7AG Staffordshire, West Midlands £12 - £23 hour Medacs Healthcare

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️ Support Workers - Winter Pressure Shifts at Haywood Community Hospital

Haywood Community Hospital is preparing for the winter season and we're looking for caring, reliable Support Workers to join our team. This is a fantastic opportunity to make a real difference in your local community while gaining valuable experience in a supportive environment.

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Senior Healthcare Administrator - Remote Patient Monitoring

ST1 2AR Staffordshire, West Midlands £50000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client is seeking a highly motivated and experienced Senior Healthcare Administrator to lead the operational aspects of their remote patient monitoring program. This is a fully remote position, offering a unique opportunity to contribute to the advancement of telehealth and improve patient outcomes across the UK. You will be responsible for managing the day-to-day administration of the remote monitoring services, ensuring seamless patient onboarding, effective data management, and efficient communication between patients, clinicians, and the support team. The ideal candidate will possess a strong background in healthcare administration, a deep understanding of remote patient monitoring technologies, and exceptional organizational and leadership skills. Responsibilities include:
  • Overseeing the administration of the remote patient monitoring platform, ensuring data integrity and accessibility.
  • Managing patient registration, onboarding, and technical support processes for remote monitoring devices.
  • Coordinating communication between patients, clinical staff, and technical support teams.
  • Developing and implementing workflows and protocols to optimize service delivery.
  • Monitoring key performance indicators (KPIs) related to patient engagement, data transmission, and clinical alert response times.
  • Ensuring compliance with all relevant healthcare regulations, including GDPR and CQC guidelines.
  • Training and mentoring administrative staff involved in the remote monitoring program.
  • Troubleshooting administrative and operational issues related to the remote monitoring service.
  • Liaising with technology providers to ensure the effective functioning of the RPM platform.
  • Contributing to the continuous improvement of the remote patient monitoring service.

A Bachelor's degree in Healthcare Administration, Business Management, or a related field is required. A minimum of 5 years of experience in healthcare administration, with a proven track record in managing patient services or operational programs, is essential. Direct experience with remote patient monitoring systems or telehealth platforms is highly desirable. Strong knowledge of healthcare IT systems, data privacy regulations, and clinical workflows is crucial. Excellent communication, problem-solving, and interpersonal skills are paramount for effective remote collaboration and patient interaction. This role offers the flexibility to work from anywhere in the UK, contributing to a vital healthcare service.
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Senior AI Research Scientist - Machine Learning for Healthcare

ST4 2AA Staffordshire, West Midlands £70000 Annually WhatJobs

Posted 9 days ago

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full-time
Our client is seeking a highly motivated and experienced Senior AI Research Scientist to join their cutting-edge team focused on developing advanced machine learning models for predictive healthcare diagnostics. This role is based in **Stoke-on-Trent, Staffordshire, UK**, and is a fully remote position, allowing you to contribute from anywhere. You will be instrumental in pushing the boundaries of AI in healthcare, working on complex problems that have the potential to significantly improve patient outcomes.

Key Responsibilities:
  • Design, develop, and implement novel machine learning algorithms and deep learning models for healthcare applications, including disease prediction, patient risk stratification, and personalized treatment recommendations.
  • Conduct rigorous research, stay abreast of the latest advancements in AI, machine learning, and medical informatics, and apply them to solve real-world healthcare challenges.
  • Collaborate with cross-functional teams, including data scientists, clinicians, and software engineers, to translate research findings into deployable solutions.
  • Clean, preprocess, and analyze large-scale medical datasets, ensuring data integrity and identifying key features for model training.
  • Evaluate model performance, interpret results, and communicate findings effectively to both technical and non-technical stakeholders.
  • Mentor junior researchers and contribute to the development of a high-performing research environment.
  • Publish research findings in leading academic journals and present at international conferences.
  • Ensure compliance with all relevant ethical guidelines and data privacy regulations within the healthcare sector.
Qualifications:
  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
  • Proven track record of research and development in machine learning, with a strong emphasis on deep learning techniques.
  • Experience with medical imaging analysis, electronic health records (EHR) data, or other healthcare-specific datasets is highly desirable.
  • Proficiency in programming languages such as Python, R, and associated libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of statistical modeling, experimental design, and data mining techniques.
  • Excellent problem-solving skills and the ability to work independently and as part of a remote team.
  • Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
  • Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
  • Demonstrated ability to lead research projects and deliver impactful results.
This is an exceptional opportunity to make a tangible difference in the field of healthcare through innovative AI solutions. If you are passionate about leveraging technology to improve lives and thrive in a collaborative, remote-first environment, we encourage you to apply.
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