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VIE - Patient Engagement AI Specialist (M/F/D)
VitalAire
Riyadh, KSA
Full Time
Entry
1 months ago
AIMachine LearningData AnalysisPredictive ModelingPythonHealthcare
Free
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About the Role
VitalAire is seeking a Patient Engagement AI Specialist to develop and deploy AI models that improve patient engagement and adherence in diabetes care. The role involves data analysis, AI innovation, and collaboration with the Ministry of Health.
Key Skills for This Role
AIMachine LearningData AnalysisPredictive ModelingPythonHealthcare
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; evaluate and propose novel AI applications to improve patient experience
- Analyze diverse patient data to uncover factors influencing engagement and generate AI driven predictive insights
- Collaborate with internal teams and external partners, including the 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.
- A cornerstone of this project involves leveraging advanced data analytics and AI.
- The Patient Engagement AI Specialist will work in the Diabetes Business Unit.
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 (communications, prompts) 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 (e.g., incorporating Vitalaire's data into MOH dashboards), ensure faisability and data quality, and define the 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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