Location: Remote (Louisiana Preferred) Duration: 6-Month Contract Pay Rate: Up to $50/hour
Overview
We are seeking a Senior Healthcare Informatics Analyst to support advanced healthcare analytics initiatives focused on improving healthcare quality, outcomes, utilization, and cost management. This role will leverage predictive modeling, outcomes research, machine learning, and healthcare data analytics to provide actionable insights that drive strategic business decisions.
The ideal candidate will have strong experience in Healthcare Economics and Outcomes Research (HEOR), predictive analytics, healthcare data modeling, and payer/provider healthcare environments.
Key Responsibilities
Analyze healthcare data to improve patient outcomes, utilization, quality, and cost efficiency.
Develop predictive models and advanced analytic solutions to support business and clinical initiatives.
Perform healthcare economics and outcomes research using large healthcare datasets.
Design and execute descriptive, predictive, and statistical analyses.
Translate business problems into data-driven solutions and actionable recommendations.
Collaborate with business, clinical, actuarial, finance, and technology teams to support strategic decision-making.
Validate data quality, accuracy, completeness, and consistency across analytical deliverables.
Develop reporting, dashboards, and analytical frameworks that support operational and strategic initiatives.
Serve as a subject matter expert on healthcare analytics methodologies and outcomes measurement.
Present complex analytical findings to both technical and non-technical stakeholders.
Required Qualifications
Education
Bachelor's degree in Healthcare Administration, Statistics, Economics, Computer Science, Finance, Analytics, or another quantitative discipline.
Equivalent experience may be considered in lieu of degree requirements.
Experience
4+ years of healthcare analytics, healthcare informatics, healthcare consulting, or related experience.
Experience building predictive models and advanced analytical solutions.
Experience working with healthcare payer and/or provider data environments.
Strong understanding of the U.S. healthcare delivery system.
Technical Skills
SQL
SAS
Python
R
Tableau
Analytical Skills
Predictive Modeling
Healthcare Analytics
Data Mining
Statistical Analysis
Machine Learning
Outcomes Research
Big Data Analytics
Preferred Qualifications
Strong experience in Healthcare Economics and Outcomes Research (HEOR).
Experience with SAS Enterprise Miner.
Experience supporting population health management initiatives.
Knowledge of provider reimbursement and payment methodologies.
Experience with risk adjustment models and methodologies.
Familiarity with healthcare quality and performance measures.
Clinical & Healthcare Analytics Knowledge
HCC
DxCG
DRG
APC
ETG
MEG
HEDIS
AHRQ
Statistical & Machine Learning Methods
Linear Regression
Logistic Regression
Polynomial Regression
Decision Trees
Cluster Analysis
Time Series Analysis
Support Vector Machines
Ensemble Models
Unstructured Data Mining
Ideal Candidate Profile
Deep expertise in healthcare analytics and outcomes research.
Strong background in predictive modeling and healthcare data science.
Experience translating complex healthcare data into business insights.
Ability to communicate analytical findings to executive and operational stakeholders.
Comfortable working independently while collaborating across multiple business functions.
Experience supporting payer, managed care, population health, risk adjustment, or value-based care initiatives.
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