VIE - Patient Engagement AI Specialist (M/F/D)
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Key skills for this role
About the Role
Air Liquide's Vitalaire Arabia seeks a Patient Engagement AI Specialist to develop and deploy AI models using patient data to improve engagement and adherence. Requires Master's degree in Data Science, Computer Science or Engineering with AI specialization.
Key Skills for This Role
Responsibilities
- Design and implement AI models using patient data to understand engagement drivers, predict behavior, and personalize interventions
- Monitor relevant AI/ML advancements in digital health engagement and propose novel AI applications
- Analyze diverse patient data to uncover factors influencing engagement and generate predictive insights
- Collaborate with internal teams and external partners, including MOH AI team, to facilitate data integration and define specs for upcoming tenders
Requirements
- Master’s degree in Data Science, Computer Science or Engineering with a strong specialization or thesis focus on Artificial Intelligence (AI)
Full Job Posting
How will you CONTRIBUTE and GROW?
- Vitalaire Arabia (VAA) is a recognized leader in sleep apnea management and a rapidly growing provider of innovative diabetes care solutions.
- We are currently launching a significant initiative in partnership with the Ministry of Health (MoH) and Health Holding Company Diabetes Centers, supporting thousands of patients living with diabetes.
- This flagship project is aligned and integrated with the TechCare Ecosystem.
Key Responsibilities
- Develop & Deploy AI Engagement Models: Design and implement AI models using patient data (behavioral, clinical, interaction) to understand engagement drivers, predict behavior, and personalize interventions that boost participation and adherence.
- AI Innovation & Future Requirements: Monitor relevant AI/ML advancements in digital health engagement; evaluate and propose novel AI applications (e.g., chatbots, predictive alerts) to improve patient experience; analyze competitor approaches and help define future requirements for new tenders.
- Data Analysis: Analyze diverse patient data to uncover factors influencing engagement. Generate AI driven predictive insights on engagement trends, disengagement risks, and opportunities for proactive support.
- Data Strategy & MOH Collaboration: Collaborate with internal teams and external partners, including the MOH AI team, to facilitate data integration, ensure feasibility and data quality, and define specs for upcoming tenders.
Are you a MATCH?
- Master’s degree in Data Science, Computer Science or Engineering with a strong specialization or thesis focus on Artificial Intelligence (AI)
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