Junior Healthcare AI Specialist

Position Summary

We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance operational efficiency across healthcare environments. This role combines expertise in artificial intelligence, data science, and healthcare systems to create technologies that address real world clinical and organisational challenges.

Successful candidates will work closely with multidisciplinary teams including clinicians, researchers, software engineers, healthcare administrators, and data professionals to design, implement, and evaluate AI driven solutions. You will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable, and aligned with ethical and regulatory standards. This position offers an exciting opportunity to apply cutting edge technology in a field where innovation can have a direct and measurable impact on the quality of care provided to patients.

Key Responsibilities

• Design, develop, and deploy AI and machine learning solutions for healthcare applications.
• Analyse clinical, operational, and patient data to identify opportunities for AI-driven improvements.
• Build predictive models, decision-support systems, and generative AI applications.
• Collaborate with physicians, nurses, administrators, and technical teams to understand healthcare challenges and requirements.
• Validate model performance, reliability, fairness, and safety before deployment.
• Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards.
• Monitor deployed AI systems and continuously improve performance and accuracy.
• Develop documentation, reports, and technical specifications for stakeholders.
• Stay informed about emerging AI technologies, healthcare innovations, and regulatory developments.

Required Qualifications and Skills

• Bachelor's degree in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related field.
• Proficiency in Python.
• Knowledge of healthcare data systems and electronic health records (EHRs).
• Understanding of data privacy, security, and healthcare compliance requirements.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills.

Preferred Qualifications and Skills

• Experience with healthcare AI, clinical analytics, or medical data science.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Familiarity with cloud platforms including AWS, Azure, or Google Cloud.
• Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG).

Technical Skills

Python, SQL, Machine Learning, Deep Learning, Data Visualisation, MLOps, Cloud Computing, Data Engineering, Statistical Analysis, Generative AI and Natural Language Processing.

Core Competencies

• Cross-functional collaboration
• Critical thinking
• Communication skills
• Project management
• Continuous learning mindset

Success Metrics

• Improvement in clinical or operational outcomes
• Accuracy and reliability of deployed AI models
• Regulatory and compliance adherence
• User adoption and stakeholder satisfaction
• Reduction in administrative burden through automation
• Demonstrated positive impact on patient care and healthcare delivery

We welcome applications from motivated individuals who are eager to make a meaningful contribution to healthcare innovation. If you are ready to develop your skills, collaborate with talented professionals, and help create the next generation of AI driven healthcare technologies, we would love to hear from you.