
Building Machine Learning Foundations for Healthcare Innovation
1 day ago
Data Insights Leader
About the Role:This is a key position that enables the development of data-driven technology solutions to establish the company as an industry leader in healthcare, financial, and clinical administration.
As a hands-on Data Insights Leader, you will focus on building and implementing machine learning models and predictive analytics solutions that drive AI-powered innovation in healthcare. Your work will span the entire healthcare revenue cycle from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions.
You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, including:
- Payer Propensity Modeling: predicting payer behavior and reimbursement likelihood
- Claim Denials Prediction: identifying high-risk claims before submission
- Payment Amount Prediction: forecasting expected reimbursement amounts
- Cash Flow Forecasting: predicting revenue timing and patterns
- Patient-Related Models: enhancing patient financial experience and outcomes
- Claim Processing Time Prediction: optimizing workflow and resource allocation
- Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- 5+ years of hands-on data science experience with a proven track record of deploying ML models to production
- Expert-level proficiency in SQL and Python, with extensive experience using standard Python machine learning libraries
- Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches
- Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques
- Experience with model deployment, monitoring, and MLOps practices
- US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management
- Experience with healthcare data standards (HL7, FHIR, X12 EDI)
- Knowledge of healthcare regulations (HIPAA, compliance requirements)
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Familiarity with real-time streaming data processing
- Previous leadership or mentoring experience
We are looking for a collaborative and innovative team member who can help us shape our data science & analytics foundation. You will have the opportunity to build groundbreaking machine learning capabilities from the ground up and work with cutting-edge tools and methodologies.
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