Healthcare Data Scientist - Clinical AI Analytics

AlFuttaim; Dubai; On-site; AED 201,000 - 312,000; Full time

Job summary

Al-Futtaim Health invites a Healthcare Data Scientist to transform clinical, insurance, pharmacy, and financial data into actionable insights. You will develop predictive models, ML solutions, and decision-support tools across EHRs and claims to improve patient outcomes and operational efficiency.

The role emphasizes data governance, privacy, and DHA UAE regulations, with dashboards for clinical leaders and executives.

Qualifications

• Bachelor's degree in a quantitative field and 2–5 years of experience in data science.
• Experience with healthcare, clinical, insurance, or health informatics datasets.
• Proven ability to build predictive models and ML solutions.
• Strong skills in Python, R, SQL, and data visualization tools.

Responsibilities

• Develop predictive models for clinical decision making and healthcare operations.
• Build ML solutions for disease prediction, patient risk, and outcome forecasting.
• Create models assessing hospital or clinic readmission risk.
• Develop length-of-stay prediction and risk-stratification methodologies.
• Evaluate model performance, bias, and reliability using statistical methods.
• Integrate datasets from EHRs, insurance, pharmacy, and operations.
• Develop dashboards and visualizations for clinical leaders and executives.
• Ensure data quality, governance, and privacy in line with UAE regulations.

Skills

Python

R programming

SQL

Power BI

Tableau

Plotly

Dash

Statistical analysis

Machine learning

Healthcare data science

EHR data

HL7

FHIR

NABIDH

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Biomedical Engineering, Health Informatics

Tools

EHR platforms

Power BI

Tableau

Plotly

Dash

HL7

FHIR

Job description

Healthcare Data Scientist - Clinical AI Analytics in Dubai, United Arab Emirates is a Hospital and Health Care opportunity focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support.

Al-Futtaim is hiring an experienced data professional to transform complex clinical, insurance, pharmacy, financial, and operational datasets into actionable insights that improve patient outcomes, healthcare efficiency, and strategic decision-making.

Job Details

• Country: United Arab Emirates
• City: Dubai
• Industry: Hospital and Health Care
• Function: Mathematical-Statistical Research
• Experience: 2 to 5 years
• Salary: 18000-28000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
• Gender: Any
• Candidate Nationality: Any
• Job Type: Full-time

Role Context

The Healthcare Data Scientist will work across Al-Futtaim Health 's growing data ecosystem to develop analytical solutions that support physicians, operational teams, finance stakeholders, and healthcare leadership. The role combines healthcare domain knowledge with data science, machine learning, statistical modelling, and business intelligence. Using Electronic Health Records, insurance claims, pharmacy information, clinical records, and operational datasets, the successful candidate will develop models and decision-support tools that help identify risks earlier, improve care delivery, optimize resources, and strengthen healthcare performance. The position also supports responsible adoption of artificial intelligence within clinical workflows, requiring strong attention to data quality, patient privacy, governance, interoperability, and UAE healthcare regulations.

Key Responsibilities

• Develop predictive models that support clinical decision-making and healthcare operations.
• Build machine learning solutions for disease prediction, patient risk identification, and outcome forecasting.
• Create models that assess hospital or clinic readmission risk.
• Develop length-of-stay prediction and patient risk-stratification methodologies.
• Evaluate model accuracy, reliability, bias, and performance using appropriate statistical and evidence-based techniques.
• Refine existing analytical models as new healthcare data becomes available.
• Integrate and analyze datasets from Electronic Health Records, insurance claims, pharmacy systems, clinical platforms, and operational sources.
• Work with large and complex healthcare datasets while maintaining accuracy, traceability, and data integrity.
• Support data quality improvement initiatives and identify incomplete, inconsistent, or unreliable data.
• Contribute to healthcare data governance standards and documentation.
• Work with EHR platforms and healthcare information systems to support analytical use cases.
• Support healthcare interoperability initiatives involving NABIDH and other data exchange environments.
• Develop dashboards and visualizations for clinical leaders, executives, operational teams, and finance stakeholders.
• Analyze patient activity, insurance, financial, operational, and healthcare performance data.
• Produce clear insights that support service planning, clinical quality, operational efficiency, and management decision-making.
• Support revenue cycle optimization through healthcare data analysis.
• Identify patterns in claims, utilization, patient behavior, and operational workflows that may improve financial or clinical performance.
• Develop AI-powered healthcare applications and decision-support solutions.
• Collaborate with physicians and clinical leaders to translate analytical findings into practical healthcare workflows.
• Support innovation initiatives involving predictive analytics, clinical AI, machine learning, and healthcare automation.
• Apply healthcare coding and terminology standards when developing analytical models and data structures.
• Ensure analytical work complies with DHA requirements and applicable UAE healthcare data regulations.
• Follow privacy, confidentiality, ethical data-use, and responsible AI practices.
• Document model assumptions, methodologies, data sources, validation results, and analytical outputs.
• Communicate complex analytical findings in clear language for healthcare and business stakeholders.

Ideal Profile

• Bachelor 's Degree in Data Science, Computer Science, Statistics, Biomedical Engineering, Health Informatics, or another quantitative discipline.
• Minimum 2 to 5 years of professional Data Science experience.
• At least 2 years of experience working with healthcare, clinical, insurance, or health informatics datasets.
• Practical experience developing predictive models and machine learning solutions.
• Demonstrated ability to analyze large and complex datasets.
• Advanced Python or R programming capability.
• Advanced SQL and database querying skills.
• Experience with statistical modelling, machine learning algorithms, and model validation.
• Strong data visualization and reporting capability.
• Experience using Power BI, Tableau, Plotly, Dash, or comparable visualization platforms.
• Knowledge of healthcare coding systems such as ICD-10, ICD-11, CPT, SNOMED CT, and LOINC.
• Familiarity with healthcare interoperability standards including HL7 and FHIR.
• Master 's Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field is advantageous.
• Experience within hospitals, clinics, healthcare groups, health insurance, or health technology organizations is highly desirable.
• Exposure to clinical AI, healthcare economics analytics, claims analytics, revenue cycle analytics, or predictive healthcare modelling is beneficial.
• Familiarity with NABIDH, Malaffi, DHA healthcare ecosystems, and UAE health data requirements is preferred.
• Strong analytical reasoning with the ability to explain technical findings to non-technical stakeholders.
• Comfortable collaborating with physicians, healthcare executives, technology teams, and business functions.

Skills Set

• Healthcare data science
• Clinical analytics
• Predictive modelling
• Machine learning
• Artificial intelligence
• Clinical AI
• Python
• R programming
• SQL
• Statistical analysis
• Risk stratification
• Disease prediction
• Readmission risk modelling
• Patient outcome forecasting
• Length-of-stay modelling
• Electronic Health Records
• EHR data
• Healthcare claims analytics
• Insurance data analytics
• Pharmacy data
• Clinical datasets
• Healthcare data integration
• Healthcare data governance
• Data quality management
• Power BI
• Tableau
• Plotly
• Dash
• Data visualization
• Executive dashboards
• Revenue cycle analytics
• Health economics analytics
• ICD-10
• ICD-11
• CPT
• SNOMED CT
• LOINC
• HL7
• FHIR
• NABIDH
• Malaffi
• DHA healthcare regulations
• Healthcare interoperability
• Responsible AI
• Healthcare data privacy
• Model validation
• Decision support systems
• Healthcare automation

Why Join Us

This role provides the opportunity to work at the intersection of healthcare, artificial intelligence, analytics, and clinical decision support within a growing Hospital and Health Care environment. The successful candidate will gain exposure to real-world healthcare datasets spanning clinical records, insurance claims, pharmacy activity, patient journeys, financial performance, and operational workflows. This breadth creates opportunities to develop analytical solutions that can directly influence care quality, resource utilization, revenue performance, and patient outcomes. Al-Futtaim 's continued investment in healthcare technology and digital innovation also gives the role strong long-term development potential. The position offers meaningful collaboration with physicians, healthcare leaders, finance teams, and technology specialists while contributing to AI-enabled healthcare initiatives across the UAE.

About the Company

Al-Futtaim is a diversified, privately held regional business headquartered in Dubai, United Arab Emirates, with operations across automotive, financial services, real estate, retail, and healthcare. Established in the 1930s, the group employs more than 35000 people across over 20 countries in the Middle East, Asia, and Africa. Through Al-Futtaim Health and its HealthHub Clinics network, the organization continues to invest in modern healthcare delivery, advanced diagnostics, digital platforms, data-driven decision-making, clinical innovation, and patient-centered services.