Data Scientist

Gilder Search Group; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Elevated Hires is seeking a Data Scientist to develop predictive models and advanced analytics for cardiovascular care, patient outcomes, and cost management. This remote role collaborates with data engineering, product, analytics, and clinical teams.

The ideal candidate has production-grade ML experience and the ability to communicate complex findings to clinical and executive audiences while adhering to HIPAA/HITRUST requirements.

Qualifications

• 5+ years of professional data science experience.
• Experience with payer claims, EHR data, FHIR, HL7.
• Proficient in Python or R and SQL.
• Experience deploying production-grade ML models.
• Strong communication across technical and clinical teams.
• HIPAA/HITRUST familiarity.

Responsibilities

• Develop and deploy ML models for high-cost or acute-care events.
• Create risk-stratification models using claims, EHR data.
• Analyze total cost of care, utilization, and attribution.
• Ensure HIPAA/HITRUST compliance.
• Translate findings to clinical and business stakeholders.
• Collaborate across teams to integrate outputs into apps and BI reports.
• Maintain validation of model accuracy, fairness, and reliability.
• Contribute to technical strategy in a product-focused startup.

Skills

Python

R

SQL

Healthcare analytics

Machine learning

Education

Bachelor’s/Master’s in a quantitative field

Tools

FHIR

HL7

Job description

Tagged: predictive modeling , python , data scientist , healthcare analytics , sql , value based care , cardiovascular health , claims data , machine learning , remote

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.

Qualifications

• 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.

AI Usage & Candidate Authenticity:

AI tools may be used to format resumes or assist with drafting application materials; however, all submitted information must accurately reflect the candidate’s experience. Misrepresentation—including copied job descriptions or unverifiable work history—is not acceptable. Candidates must be prepared to clearly and confidently discuss all experience listed. Elevated Efforts may request work samples, portfolio links, or other forms of validation during the hiring process.

Use of AI tools during interviews or assessments is prohibited unless explicitly permitted and will result in disqualification.

Work Authorization:

Candidates must be U.S. citizens or lawful permanent residents (green card holders) and authorized to work in the United States on a permanent basis. Visa sponsorship, visa transfers, and other employment-based immigration support are not available for this position.