5 Healthcare AI jobs in the United Kingdom
Principal Research Scientist - AI in Healthcare
NG7 2UL Nottingham, East Midlands
£85000 Annually
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Posted today
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Job Description
Our client, a cutting-edge research institution at the forefront of technological innovation, is seeking a Principal Research Scientist to lead groundbreaking projects in AI for Healthcare. This fully remote role allows you to conduct pioneering research from anywhere within the UK. You will be responsible for conceptualizing, designing, and executing advanced research initiatives focused on applying artificial intelligence and machine learning techniques to solve complex healthcare challenges. The ideal candidate will possess a PhD in Computer Science, Machine Learning, Biomedical Engineering, or a related field, with a substantial publication record in top-tier journals and conferences. Proven experience in developing and deploying AI models for medical image analysis, predictive diagnostics, drug discovery, or personalized medicine is essential. Responsibilities include leading research teams, securing research funding, collaborating with clinical partners, and publishing high-impact research findings. You will mentor junior researchers, contribute to strategic research planning, and stay abreast of the latest advancements in AI and healthcare. Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch) are required. This remote position offers a unique opportunity to shape the future of healthcare through transformative AI research, supporting key initiatives near Nottingham, Nottinghamshire, UK .
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Lead Research Scientist - AI in Healthcare
AB25 1HX Aberdeen, Scotland
£70000 Annually
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Posted 8 days ago
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Job Description
Our client is revolutionizing the healthcare industry through advanced artificial intelligence and is seeking an exceptional Lead Research Scientist to spearhead groundbreaking research and development initiatives. This fully remote role offers the unique opportunity to work from anywhere in the world, collaborating with a globally distributed team of leading experts. You will be at the forefront of developing novel AI algorithms and machine learning models to address critical challenges in medical diagnostics, drug discovery, and personalized treatment. Your expertise will be crucial in designing and executing complex research projects, from conceptualization to implementation and validation. This includes exploring new frontiers in areas such as deep learning for medical imaging, natural language processing for clinical data analysis, and predictive modeling for disease progression. You will be responsible for mentoring junior researchers, guiding technical direction, and fostering a culture of innovation and scientific rigor. A strong publication record in top-tier journals and conferences is expected, showcasing your contributions to the AI and healthcare fields. We are looking for an individual with a Ph.D. in Computer Science, Artificial Intelligence, Bioinformatics, or a related quantitative field, coupled with extensive experience in applying AI/ML to biological or medical data. Familiarity with cloud computing platforms (AWS, Azure, GCP), big data technologies, and relevant programming languages (Python, R) is essential. The ability to translate complex scientific findings into practical applications and communicate effectively with both technical and non-technical stakeholders is paramount. Join us in our mission to create a healthier future, powered by AI, and make a profound impact on global health from the comfort of your home office. This is a demanding yet incredibly rewarding role for a visionary scientist eager to push the boundaries of what's possible in medical AI.
Key Responsibilities:
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.
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1
Senior Research Scientist - AI in Healthcare
BT1 1AA Belfast, Northern Ireland
£70000 Annually
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Posted 22 days ago
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Job Description
Our client, a pioneering force in medical technology and digital health innovation, is seeking a highly skilled and experienced Senior Research Scientist to join their remote-first research and development team. This pivotal role will focus on advancing the application of Artificial Intelligence and Machine Learning within healthcare diagnostics and treatment pathways. The successful candidate will have the opportunity to work on cutting-edge projects, contributing to the development of next-generation healthcare solutions from the comfort of their own home.
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.
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.
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2
Principal Research Scientist - AI in Healthcare
CV1 2DH Coventry, West Midlands
£85000 Annually
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Posted 24 days ago
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Job Description
Our client, a pioneering research and development organisation, is seeking a highly accomplished Principal Research Scientist to lead innovative projects in the application of Artificial Intelligence within the healthcare sector. Based in our state-of-the-art facilities in Coventry, West Midlands, UK , you will be instrumental in driving cutting-edge research that aims to transform patient care and diagnostic processes. This role requires a deep understanding of machine learning, deep learning, and data science, combined with a passion for solving complex healthcare challenges. You will collaborate with a multidisciplinary team of scientists, clinicians, and engineers, contributing to groundbreaking discoveries and their translation into practical applications.
Key Responsibilities:
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.
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.
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3
Senior AI/ML Engineer - Healthcare Analytics
OX1 1AA Oxford, South East
£75000 Annually
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Posted 5 days ago
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Job Description
Our client, a pioneering healthcare technology firm, is looking for an exceptional Senior AI/ML Engineer to drive innovation in healthcare analytics. This is a fully remote position, enabling you to contribute your expertise from anywhere within the UK. You will be instrumental in developing and deploying advanced machine learning models to improve patient outcomes and streamline healthcare operations.
Responsibilities:
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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