VitalAire تعلن عن وظيفة أخصائي مشاركة المرضى والذكاء الاصطناعي في الرياض
VIE - Patient Engagement AI Specialist (M/F/D)
🏢 VitalAire
تفاصيل الوظيفة
تعلن شركة VitalAire (التابعة لمجموعة Air Liquide) عن توفر فرصة عمل في الرياض لوظيفة VIE - أخصائي ذكاء اصطناعي لمشاركة المرضى (Patient Engagement AI Specialist)، ضمن فريق وحدة أعمال السكري. تهدف الوظيفة إلى تطوير نماذج الذكاء الاصطناعي لتحليل بيانات المرضى وتحسين الالتزام بالعلاج والمشاركة في برامج الرعاية.
نبذة عن الوظيفة
VitalAire Arabia هي شركة رائدة في إدارة انقطاع التنفس أثناء النوم ومزود مبتكر لحلول رعاية مرضى السكري. تأسست في أواخر 2017، وتهدف إلى تحسين حياة المرضى من خلال تبسيط إدارة الحالات الصحية عبر استراتيجية الرعاية الصحية القائمة على القيمة. تعمل الشركة ضمن مشروع كبير بالشراكة مع وزارة الصحة وشركة الصحة القابضة لمراكز السكري، مما يتيح معالجة بيانات المرضى لتحديد الأنماط الحرجة والتنبؤ بمخاطر المضاعفات وتقديم رؤى طبية واقتصادية.
المهام والمسؤوليات
- تطوير ونشر نماذج الذكاء الاصطناعي للمشاركة: تصميم وتنفيذ نماذج AI تعتمد على بيانات المرضى (السلوكية والسريرية والتفاعلية) لفهم محفزات المشاركة والتنبؤ بالسلوك وتخصيص التواصل لتعزيز الالتزام.
- الابتكار في الذكاء الاصطناعي والمتطلبات المستقبلية: متابعة أحدث تطورات AI/ML في مجال الصحة الرقمية، تقييم واقتراح تطبيقات جديدة (مثل chatbots والتنبيهات التنبؤية)، تحليل أساليب المنافسين، وتحديد المتطلبات المستقبلية للمناقصات الجديدة.
- تحليل البيانات: تحليل بيانات متنوعة للمرضى لاكتشاف العوامل المؤثرة على المشاركة، توليد رؤى تنبؤية حول اتجاهات المشاركة ومخاطر الانسحاب، واقتراح فرص الدعم الاستباقي.
- استراتيجية البيانات والتعاون مع وزارة الصحة: التعاون مع الفرق الداخلية والشركاء الخارجيين (بما في ذلك فريق AI بوزارة الصحة) لتسهيل دمج البيانات (مثل إدراج بيانات VitalAire في لوحات معلومات الوزارة)، وضمان الجودة والجدوى، وتحديد مواصفات المناقصات القادمة.
الشروط والمتطلبات
- درجة الماجستير في علوم البيانات أو علوم الحاسب أو الهندسة مع تخصص رئيسي أو أطروحة تركيز قوي على الذكاء الاصطناعي (AI).
عرض النص الأصلي للإعلان
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. Established in late 2017, our mission is to improve patient lives by simplifying condition management through a Value-Based Healthcare strategy – delivering better health outcomes while optimizing costs for payors. Fueling our growth is a dynamic, multicultural team of over 50 professionals representing more than 12 nationalities, fostering a collaborative environment where languages like Arabic, English, and French are commonly spoken.
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. VAA will process patient data to identify critical patterns related to diabetes management, predict the risk of complications, and provide crucial medico-economic insights, demonstrating cost-saving opportunities to our public health partners.
This flagship project is aligned and integrated with the TechCare Ecosystem. We aim to accelerate data analysis and automation to offer comprehensive, data-driven solutions to key clients like the Health Holding Company and MoH. Our goal is to integrate best-in-class device dispensing with personalized care plans and predictive risk modeling, ultimately enhancing patient care and delivering significant value across the healthcare system in KSA.The Patient Engagement AI Specialist will work in the Diabetes Business Unit. The key responsabilities are the following :
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)
You will be able to learn more about the dynamic business environment of a matrix organization with a multicultural team. You will contribute to process patient's data the is of high value to the sustainability of our business.
Our Differences make our Performance
At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.
We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.
Vitalaire Arabia (VAA) is a recognized leader in sleep apnea management and a rapidly growing provider of innovative diabetes care solutions. Established in late 2017, our mission is to improve patient lives by simplifying condition management through a Value-Based Healthcare strategy – delivering better health outcomes while optimizing costs for payors. Fueling our growth is a dynamic, multicultural team of over 50 professionals representing more than 12 nationalities, fostering a collaborative environment where languages like Arabic, English, and French are commonly spoken.
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. VAA will process patient data to identify critical patterns related to diabetes management, predict the risk of complications, and provide crucial medico-economic insights, demonstrating cost-saving opportunities to our public health partners.
This flagship project is aligned and integrated with the TechCare Ecosystem. We aim to accelerate data analysis and automation to offer comprehensive, data-driven solutions to key clients like the Health Holding Company and MoH. Our goal is to integrate best-in-class device dispensing with personalized care plans and predictive risk modeling, ultimately enhancing patient care and delivering significant value across the healthcare system in KSA.The Patient Engagement AI Specialist will work in the Diabetes Business Unit. The key responsabilities are the following :
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)
You will be able to learn more about the dynamic business environment of a matrix organization with a multicultural team. You will contribute to process patient's data the is of high value to the sustainability of our business.
Our Differences make our Performance
At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.
We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.
المصدر: LinkedIn — أُضيفت للموقع في 11 يونيو 2026