Artificial Intelligence (AI) Specialist

SUMMARY:
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.

POSITION INFO:
Duties:

• 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, and 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.

• 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.