Junior AI Healthcare 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 organizational 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. The successful candidate 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.
• Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements.
• Build predictive models, decision-support systems, and generative AI applications.
• Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards.
• Monitor deployed AI systems and continuously improve performance and accuracy.

Required Qualifications / Skills

• Bachelor's degree in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related field.
• 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 / 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
• MLOps
• Cloud Computing
• Data Engineering
• Statistical Analysis

Core Competencies

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

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.