Artificial Intelligence (AI) Specialist

Description:

Our client is looking for a highly motivated AI Specialist to spearhead AI initiatives that will transform healthcare delivery, drive data-driven decision-making, and enhance patient outcomes. This is a unique opportunity to shape the AI landscape in a forward-thinking organization at the forefront of innovation in healthcare.

AI Strategy, Governance & Compliance

• Develop and implement an AI strategy aligned with organizational goals.
• Establish ethical AI governance frameworks.
• Ensure regulatory compliance for AI deployments.
• Conduct AI readiness assessments and change management initiatives.

AI-Powered Automation & Process Optimization

• Identify and automate manual processes in clinical, research, and administrative areas.
• Deploy scalable, cloud-based AI solutions integrated with existing systems.
• Optimize supply chain operations using AI-driven forecasting models.

AI for Data-Driven Decision-Making & Commercial Strategy

• Build predictive analytics models for patient risk assessment and disease prevention.
• Support drug discovery, diagnostics, and clinical trial optimization.
• Enable AI-driven insights for sales, marketing, pricing, and commercial forecasting.
• Collaborate with data engineers to enhance data platforms and pipelines.

AI for Patient-Centric Innovation

• Design AI-powered patient tools (chatbots, virtual assistants).
• Develop personalized treatment models and remote monitoring solutions.
• Advance telemedicine technologies to increase care accessibility.

Education

• Bachelor’s degree in AI, Data Science, Computer Science, Healthcare Informatics, or related field.
• Solid foundation in machine learning, AI, and data analytics.
  Preferred:
• Master’s or PhD in a related discipline.
• Certifications such as Google Cloud AI/ML, Azure AI Engineer, AWS ML Specialty, TensorFlow, IBM AI Engineering.

Experience & Skills

Required

• 3–5 years of experience in AI, machine learning, or data science.
• Hands-on AI model development and deployment.
• Experience in predictive analytics, sales forecasting, or business process automation.
• Familiarity with cloud platforms, data engineering, and database management.

Preferred

• Exposure to healthcare or pharmaceutical industry standards.
• Experience with AI in medical imaging, diagnostics, or clinical trials.
• Knowledge of patient engagement technologies and personalized medicine.

Apply now!

For more IT jobs, please visit www.networkrecruitment.co.za

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information contact:
Reinie Du Preez
Senior Specialist Recruitment Consultant
E-mail: rdpreez@networkrecruitment.co.za

Requirements:

• Develop and implement an AI strategy aligned with organizational goals.
• Establish ethical AI governance frameworks.
• Ensure regulatory compliance for AI deployments.
• Conduct AI readiness assessments and change management initiatives.

• Identify and automate manual processes in clinical, research, and administrative areas.
• Deploy scalable, cloud-based AI solutions integrated with existing systems.
• Optimize supply chain operations using AI-driven forecasting models.

• Build predictive analytics models for patient risk assessment and disease prevention.
• Support drug discovery, diagnostics, and clinical trial optimization.
• Enable AI-driven insights for sales, marketing, pricing, and commercial forecasting.
• Collaborate with data engineers to enhance data platforms and pipelines.

• Design AI-powered patient tools (chatbots, virtual assistants).
• Develop personalized treatment models and remote monitoring solutions.
• Advance telemedicine technologies to increase care accessibility.

• Bachelor’s degree in AI, Data Science, Computer Science, Healthcare Informatics, or related field.
• Solid foundation in machine learning, AI, and data analytics.
  Preferred:
• Master’s or PhD in a related discipline.
• Certifications such as Google Cloud AI/ML, Azure AI Engineer, AWS ML Specialty, TensorFlow, IBM AI Engineering.

• 3–5 years of experience in AI, machine learning, or data science.
• Hands-on AI model development and deployment.
• Experience in predictive analytics, sales forecasting, or business process automation.
• Familiarity with cloud platforms, data engineering, and database management.

• Exposure to healthcare or pharmaceutical industry standards.
• Experience with AI in medical imaging, diagnostics, or clinical trials.
• Knowledge of patient engagement technologies and personalized medicine.