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