Note: The job is a remote job and is open to candidates in USA. NAM Info Inc is seeking a Senior Data Scientist to lead advanced analytics and AI-driven insights initiatives within its healthcare data platform. The role focuses on analyzing CGM, diabetes, and clinical data; developing predictive and prescriptive machine learning solutions; and supporting AI-enabled decision-making for healthcare stakeholders. The position also collaborates with data engineering, clinical, architecture, and AI/ML platform teams on data pipelines, governance, and responsible AI practices.
Responsibilities
- Analyze large-scale healthcare datasets, including:
- Continuous Glucose Monitoring (CGM) data
- Diabetes care management data
- Patient outcomes and longitudinal clinical records
- Electronic Health Record (EHR) data from Epic
- Perform comprehensive Exploratory Data Analysis (EDA) to identify:
- Glucose variability patterns
- Diabetes progression indicators
- Medication adherence insights
- Risk stratification opportunities
- Clinical intervention recommendations
- Generate actionable clinical insights and collaborate with clinicians, healthcare analysts, and business stakeholders to improve patient outcomes
- Design, develop, and deploy machine learning models for:
- Predictive risk scoring
- Diabetes outcome prediction
- Readmission risk analysis
- Anomaly detection in CGM data
- Patient segmentation and personalization
- Support the development of AI-powered decision-support systems that enable data-driven clinical and operational decision making
- Evaluate and implement Generative AI, LLM, and Agentic AI use cases within healthcare analytics workflows
- Work closely with Data Engineering teams to consume and optimize data pipelines from:
- Epic HER/Snowflake
- Healthcare APIs and HL7/FHIR datasets
- Snowflake data platform
- Define feature stores, analytical datasets, and data quality frameworks
- Ensure healthcare data governance, HIPAA compliance, and responsible AI practices
- Partner with:
- Clinical teams
- Product owners
- Healthcare researchers
- Enterprise architects
- AI/ML platform teams
Skills
- 10+ Years in Data Science, Healthcare Analytics, or Clinical Data Research
- Location: Hybrid / Remote, CST collaboration
Benefits
- Hybrid / Remote work arrangement
Company Overview
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