Healthcare Data Scientist - Machine Learning & Clinical Analytics, Dubai Festival City

Job Requisition ID: 180608 

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. 

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

Use Data Science to Predict, Improve, and Transform Healthcare Outcomes

Al-Futtaim Health is seeking an experienced Healthcare Data Scientist – Machine Learning & Clinical Analytics to join our HealthHub Corporate Office in Dubai Festival City.

This is a specialist data science role focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support across our growing healthcare network.

Important: This is not a Data Analyst, BI Analyst, Reporting Analyst, Power BI Developer, or dashboard-only role.

We are looking for a hands-on Data Scientist who has personally built, trained, tested, and evaluated predictive models using real healthcare datasets such as electronic health records, claims, pharmacy data, laboratory data, clinical activity data, or healthcare operational data.

The purpose of this role is to move beyond reporting what has already happened and help HealthHub predict what may happen next, optimise patient pathways, improve clinical decision-making, and support better healthcare outcomes.

About the Role

As a Healthcare Data Scientist, you will design, develop, and evaluate machine learning models and advanced analytics solutions that support clinical, operational, financial, and strategic decision-making.

You will work closely with clinical leadership, medical directors, operations teams, finance, IT, health informatics, and compliance stakeholders to transform complex healthcare data into predictive insights and practical healthcare solutions.

The role requires a strong combination of healthcare domain knowledge, statistical modelling, machine learning, Python or R, advanced SQL, healthcare data standards, and responsible healthcare AI practices.

Key Responsibilities

Build, train, test, and evaluate predictive machine learning models for healthcare use cases.
Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement.
Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data.
Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods.
Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks.
Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR.
Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives.
Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows.
Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods.
Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.

Essential Requirements

Currently residing in the UAE.
Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline.
Minimum 2–5 years’ experience in data science.
Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data.
Proven hands-on experience building predictive models or machine learning solutions.
Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation.
Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation.
Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data.
Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR.
Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders.

Highly Desirable

Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field.
Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements.
Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment.
Experience with clinical decision support systems.
Experience with SHAP, LIME, or other model explainability methods.
Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership.

Who This Role Is Not For

This role is unlikely to be suitable if your experience is primarily focused on:

Power BI dashboards only.
KPI reporting only.
Excel reporting.
SQL extracts without modelling.
Descriptive analytics only.
Claims audit reporting only.
General business intelligence without predictive modelling.
Data analysis without machine learning or statistical model development.

Candidates must be able to demonstrate hands-on experience building data science or machine learning models using healthcare datasets.

Why Join Al-Futtaim Health?

Work from HealthHub Corporate Office in Dubai Festival City.
Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network.
Work with clinical, operational, finance, and leadership stakeholders.
Exposure to healthcare datasets and real-world clinical decision-making.
Opportunity to support patient outcomes, operational efficiency, and healthcare innovation.
Competitive salary and benefits package.
Career development within one of the UAE’s leading healthcare organisations.

About Al-Futtaim Healthcare

We Hear Your Ambition.
For over 90 years, the Al-Futtaim Group has been bringing the world’s leading brands of lifestyle watches, cars, home furnishings and fashion to the UAE. The Group has now introduced a whole new way of holistic healthcare through HealthHub Clinics by Al-Futtaim, its multi-speciality chain of more than 20 clinics in Dubai with over 25 specialties offering the right combination of advanced diagnostics, proven medical expertise and specialised services. 
What gives our clinics an edge is that as a part of the Al-Futtaim Group, you can expect world-class quality standards, with access to the best medical services and facilities within a healing environment. It’s a new way of healthcare that’s designed to meet a patient’s needs with a complete range of smart healthcare solutions. As testimony to this, only recently, we’ve earned a rare milestone of being the only primary healthcare network in the UAE to receive the Gold Seal by a reputed international body: Accreditation Canada.   
As trusted partners to health, we at HealthHub Clinics adopt evidence-based learning that enables us to listen to our patients more carefully. It helps us in treating the cause and not just the symptoms, while applying global best practices to ensure quality of care for every family member. Most of all, we adopt a patient-centric approach to healthcare that is reflected in the promise of our core belief: “We Hear You.”