5 Healthcare AI jobs in the United Kingdom
Principal Research Scientist - AI in Healthcare
Posted today
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Lead Research Scientist - AI in Healthcare
Posted 8 days ago
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Key Responsibilities:
- Lead the research and development of AI algorithms for healthcare applications.
- Design and execute innovative research projects in areas like medical imaging, NLP, and predictive analytics.
- Develop and validate machine learning models for diagnostics and drug discovery.
- Mentor and guide a team of research scientists and engineers.
- Publish research findings in leading academic journals and conferences.
- Collaborate with cross-functional teams, including clinicians and data scientists.
- Stay abreast of the latest advancements in AI, machine learning, and healthcare technologies.
- Contribute to the intellectual property and strategic direction of the company.
- Present research outcomes to internal and external stakeholders.
- Ph.D. in Computer Science, AI, Bioinformatics, or a related field.
- 10+ years of research experience in AI/ML, with a focus on healthcare or life sciences.
- Proven track record of impactful publications and presentations.
- Expertise in deep learning, NLP, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and big data tools.
- Strong programming skills in Python or R.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work independently and manage complex projects in a remote setting.
Senior Research Scientist - AI in Healthcare
Posted 22 days ago
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As a Senior Research Scientist, you will lead research initiatives, design and implement complex algorithms, and develop robust AI models to address critical challenges in medical imaging analysis, predictive diagnostics, and personalised medicine. You will be instrumental in translating theoretical concepts into practical, deployable solutions, collaborating closely with a distributed team of scientists, engineers, and clinical experts. Your responsibilities will include literature reviews, experimental design, data acquisition and preprocessing, model training and validation, and contributing to peer-reviewed publications and patent applications. You will also mentor junior researchers, guide project strategy, and present findings to internal teams and external stakeholders.
We are looking for candidates with a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, or a closely related quantitative field, coupled with a minimum of 5 years of relevant research experience. A proven track record of developing and deploying AI/ML models, particularly in a healthcare or life sciences context, is essential. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), statistical modelling, and data analysis techniques is required. Strong programming skills in Python and experience with scientific computing libraries are mandatory. Exceptional analytical, problem-solving, and communication skills are crucial for success in this fully remote position, enabling effective collaboration across diverse, geographically dispersed teams. Experience with cloud computing platforms (AWS, Azure, GCP) and medical imaging standards (DICOM) is highly desirable. This is a unique chance to make a significant impact on global health outcomes while enjoying the flexibility of remote work.
Principal Research Scientist - AI in Healthcare
Posted 24 days ago
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Key Responsibilities:
- 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.
The ideal candidate will hold a PhD in Computer Science, Biomedical Engineering, Data Science, or a closely related field, with a minimum of 8 years of post-doctoral research experience in AI/ML, preferably with a focus on healthcare applications. Proven expertise in developing and deploying deep learning frameworks (e.g., TensorFlow, PyTorch) and a strong understanding of statistical methods and experimental design are essential. Excellent scientific writing and presentation skills are required, along with a track record of publications in reputable venues. Experience with medical imaging modalities (e.g., MRI, CT, X-ray) and electronic health records (EHRs) is highly desirable. This role is based in our Coventry facility, requiring a commitment to on-site research and collaboration.
Senior AI/ML Engineer - Healthcare Analytics
Posted 5 days ago
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Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for healthcare applications, including predictive diagnostics, treatment optimization, and patient risk stratification.
- Process, clean, and analyze large, complex healthcare datasets, ensuring data integrity and privacy compliance (e.g., GDPR, HIPAA).
- Collaborate with healthcare professionals, data scientists, and software engineers to understand clinical needs and translate them into data-driven solutions.
- Build and maintain robust data pipelines and ML infrastructure, leveraging cloud platforms (e.g., AWS, Azure, GCP).
- Conduct thorough model evaluation, validation, and A/B testing to ensure performance, reliability, and ethical considerations.
- Stay current with the latest research and advancements in AI/ML, particularly in the healthcare domain, and apply them to practical problems.
- Develop and implement strategies for model deployment, monitoring, and continuous improvement in production environments.
- Mentor junior engineers and contribute to the knowledge sharing within the AI/ML team in a remote setting.
- Document technical designs, methodologies, and findings clearly and comprehensively.
- Contribute to the strategic roadmap for AI/ML initiatives within the organization.
- M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying ML models in production, preferably in the healthcare or life sciences sector.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Deep understanding of various ML algorithms, statistical modeling techniques, and data mining principles.
- Experience handling large-scale datasets and implementing data processing pipelines.
- Excellent problem-solving skills and the ability to think critically about complex challenges.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Familiarity with healthcare data standards (e.g., HL7, FHIR) and regulations is a significant advantage.
- A passion for leveraging technology to improve healthcare.
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