Key Responsibilities
As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects 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, along the lines of:
Additionally, we will work on emerging areas and integration opportunitiesfor example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models.
You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care.
VHT Technical Environment
Required Qualifications
You should be someone who thrives on solving complex problems and has a natural attraction to ill-defined challenges that seem intractable, transforming them into elegant data science solutions. You find yourself comfortable in the middle of what seems to be chaos, knowing you can discover patterns and create order through data. You want to create a meaningful impact by solving complex healthcare problems through your passion for data science and machine learning.
Preferred Qualifications
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Keyskills: Data Science GenAI NLP Machine Learning Algorithms Python Healthcare Domain GCP Artificial Intelligence Google Cloud Platforms
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