Lillia
Data Analytics Intern
LilliaQatar18 hours ago
Full-timeInformation Technology

Company Description:

Lillia is an agentic AI-enabled operating platform that supports the delivery of chronic care. Our platform specializes in managing the care journey between clinic visits to ensure high adherence and compliance.


We address the continuity problem in healthcare: chronic conditions often progress between clinician visits, while care teams navigate fragmented workflows and manual tracking. These gaps can lead to delayed responses and missed CMS reimbursements. Lillia reduces administrative and operational burden by automating patient identification, onboarding, engagement, care tracking, and CMS-compliant billing to help organizations run care programs efficiently.


With two of the largest-cohort research findings presented at the American Diabetes Association (ADA), Lillia has been recognized among TIME’s World’s Top HealthTech Companies 2025. The Lillia solution has been used by 20+ healthcare organizations for efficient chronic care program execution.


Role Description:

This is a full-time, work-from-office role for a Data Analytics Intern based in Doha, Qatar. We are looking for a motivated Data Analytics Intern to join our Healthcare Data Science team. This role focuses on medical and health-related data analytics, supporting real-world healthcare datasets such as clinical records, laboratory data, and longitudinal patient metrics. The intern will gain hands-on exposure to healthcare analytics workflows, database-driven reporting, and data preparation for downstream data science and AI models used in real-world healthcare products. High-performing interns may be considered for conversion to a regular full-time position upon successful completion of the internship, subject to performance and organizational requirements.


Key Responsibilities:

  1. Write and optimize queries using MySQL and MongoDB on healthcare datasets
  2. Build and maintain dashboards and analytical reports for healthcare metrics (clinical operations, outcomes tracking, population analytics)
  3. Perform data cleaning, validation, and transformation on medical and longitudinal health data
  4. Conduct exploratory data analysis (EDA) to identify trends in clinical and biomedical datasets
  5. Support data-driven insights for clinicians, researchers, and internal product teams
  6. Assist data scientists with feature analysis, metric tracking, and data preparation for medical AI and predictive modeling tasks


Requirements:

  1. Strong hands-on knowledge of MySQL and good understanding of MongoDB
  2. Experience with dashboard-ing / reporting tools
  3. Solid foundation in data analytics concepts (metrics, trends, cohort analysis)
  4. Basic understanding of Python-based data workflows
  5. Ability to work carefully with structured medical data, maintaining accuracy and attention to detail
  6. Curiousness, detail-orientation, and eagerness to learn healthcare data science end-to-end


Compensation and Other Details:

  • Salary: As per industry norms, commensurate with skills, experience, and performance.
  • Location: Doha, Qatar (Work from office)
  • Duration: 4–6 Months (Full-time)
  • Eligibility: Valid Qatar ID required


How to Apply:

Email [email protected] with your latest CV and interest in the position.

Key Skills

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