Healthcare Data Scientist – Machine Learning & Clinical Analytics

Al Futtaim Health is looking for a Healthcare Data Scientist – Machine Learning & Clinical Analytics to join its HealthHub Corporate Office in Dubai Festival City. The role focuses on building, training, testing and evaluating predictive models using real healthcare datasets such as electronic health records, claims, pharmacy, laboratory and operational data. The candidate will work closely with clinical, operational, finance, IT and compliance stakeholders to transform complex data into actionable insights that improve patient pathways, clinical decision‑making and overall healthcare outcomes.

• Build, train, test and evaluate predictive machine learning models for healthcare use cases. • Develop models supporting 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 operational data. • Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost and other predictive methods. • Prepare analytical datasets using advanced SQL, cohort building, joins, window functions, longitudinal patient data, feature engineering and data quality checks. • Work with healthcare data standards and coding systems (ICD‑10/11, CPT, SNOMED CT, LOINC, HL7, 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 metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration and explainability methods. • Ensure data privacy, ethical AI use and compliance with healthcare data governance 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.

• Competitive salary and benefits package. • Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network. • Work with clinical, operational, finance and leadership stakeholders. • Exposure to real‑world clinical decision‑making and healthcare datasets. • Career development within one of the UAE’s leading healthcare organisations.