Al Futtaim Private Company LLC
Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates.HealthHub is looking for a Healthcare Data Scientist – Clinical Analytics & Business Intelligence for its corporate operations in Dubai, United Arab Emirates. This opportunity is designed for data professionals who already have practical experience working with healthcare information and understand how hospitals, clinics, medical centres, insurance organizations, or healthcare groups operate.
Thank you for reading this post, don't forget to subscribe!The position combines healthcare analytics, data science, machine learning, business intelligence, reporting, and operational performance analysis. Candidates should be capable of turning complex healthcare datasets into meaningful insights that support better clinical, operational, and business decisions.
Job Overview
The Healthcare Data Scientist will analyze healthcare information and develop reports, dashboards, predictive models, and recommendations for different areas of the organization.
The role requires collaboration with clinical leaders and teams working across operations, finance, quality, revenue cycle management, and other corporate functions.
A strong combination of healthcare-domain knowledge and technical expertise is important. Candidates should be comfortable working with technologies such as Power BI, Tableau, SQL, Python, and/or R.
Who Is This Position Suitable For?
This vacancy is particularly relevant to candidates who have previously worked with data within healthcare environments such as:
- Hospitals
- Clinics
- Medical centres
- Healthcare groups
- Healthcare providers
- Health insurance organizations
Candidates whose professional background is primarily in general business intelligence, academic research, or laboratory-based analytics without practical healthcare data experience may not meet the requirements of this position.
Key Responsibilities
Healthcare Data Analysis
Analyze a variety of healthcare datasets to identify trends, performance gaps, risks, and opportunities for improvement.
The datasets may include information related to:
- Clinical activities
- Patient visits and activity
- Healthcare utilization
- Insurance claims
- Pharmacy operations
- Revenue cycle performance
- Financial performance
- Operational activities
Translate analytical findings into practical recommendations that can help improve healthcare operations, resource utilization, service quality, and patient outcomes.
Business Intelligence and Dashboard Development
Develop and maintain interactive dashboards using Power BI and Tableau.
Create meaningful reports for clinical, operational, financial, and management teams.
Prepare executive-level performance summaries that clearly communicate important findings, trends, KPIs, and areas requiring management attention.
Regularly monitor healthcare performance indicators and identify opportunities for operational improvement.
Predictive Analytics and Data Science
Use statistical analysis and data science methodologies to investigate complex healthcare problems.
Develop, test, and evaluate predictive models that can support healthcare planning and decision-making.
Analytics may support areas such as patient utilization forecasting, revenue cycle performance, healthcare demand planning, operational forecasting, and patient pathway optimization.
Where appropriate, apply machine learning techniques to improve predictions and generate deeper insights from healthcare data.
Clinical and Operational Performance
Work with healthcare teams to understand operational challenges and determine how data can support better decisions.
Provide analytical support for initiatives designed to improve patient services, healthcare utilization, operational efficiency, financial performance, and quality outcomes.
Convert complex analytical findings into information that can be easily understood by both technical and non-technical stakeholders.
Healthcare Data Governance
Support initiatives focused on healthcare data accuracy, consistency, integration, security, and governance.
Candidates should understand or have exposure to important healthcare terminology and interoperability standards, including:
ICD-10, ICD-11, CPT, SNOMED CT, HL7 and FHIR.
The role also requires awareness of healthcare data privacy, governance, and regulatory requirements applicable within the UAE.
Essential Qualifications
Applicants should hold a Bachelor’s Degree in one of the following or a closely related discipline:
- Data Science
- Statistics
- Computer Science
- Health Informatics
- Biomedical Engineering
Other relevant technical or analytical qualifications may also be considered depending on professional experience.
Experience Requirements
Candidates should have at least 2 years of experience working with healthcare datasets.
Practical experience within a hospital, clinic, healthcare group, medical centre, healthcare provider, or health insurance organization is particularly important for this position.
Applicants are also expected to be currently residing in the UAE.
Technical Skills
Candidates should demonstrate strong practical knowledge of:
- Power BI
- Tableau
- SQL
- Python and/or R
- Healthcare analytics
- Data visualization
- Statistical analysis
- Dashboard development
- Executive reporting
- Operational KPI reporting
- Data quality and governance
Experience working directly with clinical data, electronic health records (EHR), insurance claims, revenue cycle information, pharmacy data, and patient activity datasets would be highly relevant.
Preferred Skills and Experience
Additional experience in the following areas could strengthen a candidate’s suitability:
- Predictive modelling
- Machine learning
- Healthcare forecasting
- Revenue cycle analytics
- Health insurance analytics
- Clinical analytics
- Healthcare utilization analysis
- NABIDH
- DHA healthcare data ecosystem
- ICD-10/ICD-11
- CPT
- SNOMED CT
- HL7
- FHIR
Communication and Stakeholder Management
Technical expertise alone is not enough for this position. The Healthcare Data Scientist will need to communicate analytical findings to stakeholders with different levels of technical knowledge.
Strong presentation, communication, and stakeholder-management skills are therefore important.
Candidates should be comfortable explaining complex data findings to clinical leaders, operations teams, finance professionals, quality teams, and senior management.
Ideal Candidate Profile
A strong candidate for this opportunity would combine practical healthcare experience with advanced analytical capabilities.
The position may be particularly suitable for healthcare data analysts, BI professionals, health informatics specialists, or data scientists who have already worked with real-world hospital, clinic, insurance, or healthcare-provider datasets.
Experience using data to solve practical healthcare problems—rather than purely academic or theoretical analysis—is especially relevant.
Job Details
Job Title: Healthcare Data Scientist – Clinical Analytics & Business Intelligence
Company: HealthHub
Location: Dubai, United Arab Emirates
Work Location: HealthHub Corporate Office
Industry: Healthcare
Minimum Experience: 2+ years with healthcare datasets
Location Requirement: Candidate should currently reside in the UAE
Qualification: Bachelor’s Degree in a relevant discipline
Important Information for Applicants
Before applying, candidates should carefully review the employer’s official eligibility requirements. Pay particular attention to the requirement for previous healthcare data experience and current UAE residency.
Recruitment requirements, responsibilities, and vacancy availability can change, so applicants should verify the latest information through the official employer recruitment platform before submitting an application.
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