Healthcare Data Scientist – Machine Learning & Clinical Analytics, Dubai Festival City – Al Futtaim Group
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.
Job Details
| Posted Date: | 2026-08-17 |
| Job Location: | United Arab Emirates – Dubai |
| Job Role: | Information Technology |
| Company Industry: | Accounting |
