Healthcare Data Scientist: Clinical Analytics & BI

Uae Job Alert; Dubai; On-site; AED 240,000 - 420,000; Full time

Job summary

HealthHub seeks a Healthcare Data Scientist - Clinical Analytics & Business Intelligence for its Dubai, United Arab Emirates operations. You will analyze healthcare data, build dashboards, and develop predictive models to support clinical and operational decisions.

The role combines healthcare analytics, BI, and data science, requiring collaboration with clinical leaders across operations, finance, quality, and revenue cycle management.

Qualifications

• Bachelor’s degree in a relevant field with data analytics focus.
• Minimum 2 years experience with healthcare datasets (EHRs, claims, revenue cycle).
• Experience translating complex healthcare data into actionable insights for clinical and business teams.
• Strong skills in Power BI/Tableau and SQL; knowledge of Python or R is a plus.

Responsibilities

• Analyze healthcare data to identify trends, risks, and improvement opportunities.
• Develop dashboards and reports for clinical, operational, and financial stakeholders.
• Build and validate predictive models to support planning and decision-making.
• Collaborate with clinical leaders and cross-functional teams to communicate findings.

Skills

Power BI

Tableau

SQL

Python

R

Healthcare analytics

Data visualization

Statistical analysis

Dashboard development

Executive reporting

Operational KPI reporting

Data quality and governance

Education

Bachelor’s Degree in Data Science

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Health Informatics

Bachelor’s Degree in Biomedical Engineering

Tools

Power BI

Tableau

SQL

Python

R

Job description

HealthHub seeks a Healthcare Data Scientist - Clinical Analytics & Business Intelligence for its Dubai, United Arab Emirates operations. You will analyze healthcare data, build dashboards, and develop predictive models to support clinical and operational decisions.

The role combines healthcare analytics, BI, and data science, requiring collaboration with clinical leaders across operations, finance, quality, and revenue cycle management.