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# Data Scientist

- **Company:** Elevated Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Health Informatics, Cluster Analysis, Information Engineering, Python (Programming Language), Machine Learning, Standard Sql, Fast Healthcare Interoperability Resources, Model Validation, Electronic Medical Records, Information Technology, Health Level Seven International
- **Published:** August 14, 2026
- **Apply:** https://www.wayup.com/i-j-Data-Scientist-Elevated-Hires-567628573662884/

## About the Role

+ Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field.
 + At least five years of professional experience in data science or advanced analytics.
 + Experience working with payer claims, EHR data, FHIR, HL7, or similar healthcare data formats.
 + Expert-level Python or R and SQL skills.
 + Demonstrated experience building and deploying production-grade machine-learning models.
 + Knowledge of regression, classification, clustering, neural networks, or related modeling methods.
 + Experience validating models using complex or incomplete healthcare data.
 + Familiarity with HIPAA and HITRUST requirements.
 + Excellent written and verbal communication skills.
 + Ability to work effectively across technical, clinical, and business teams.
 + Must be legally authorized to work in the United States without current or future employer sponsorship.
Position Details

## Description

Data Scientist - Healthcare Analytics
Elevated Hires is recruiting a Data Scientist to develop predictive models and advanced analytics that improve cardiovascular care, patient outcomes, and cost management. This remote position supports a value-based healthcare platform and works closely with data engineering, product, analytics, and clinical teams.
The ideal candidate combines production-level technical ability with the communication skills to explain complex findings to clinical, business, and executive audiences.
Key Responsibilities

 + Develop and deploy machine-learning models that identify members at risk for high-cost or acute-care events.
 + Create risk-stratification models using healthcare claims, clinical, and EHR data.
 + Research healthcare data to identify opportunities for clinical interventions and improved outcomes.
 + Analyze total cost of care, utilization, patient attribution, and performance against value-based care benchmarks.
 + Implement validation methods to evaluate model accuracy, consistency, fairness, and reliability.
 + Collaborate with engineering, analytics, product, and clinical teams to integrate model outputs into applications and business-intelligence reports.
 + Translate technical findings into clear recommendations for clinical and business stakeholders.
 + Maintain compliance with HIPAA, HITRUST, and healthcare data-security requirements.
 + Contribute to technical strategy within an early-stage, product-focused environment.


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