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Job Description:
Job Title: Data Scientist
Work Location - 100% Remote Role
Role: Fulltime contract.
Role and Responsibilities:
Analyze large and complex healthcare datasets to identify trends, patterns, and insights.
Develop predictive models and algorithms to forecast healthcare outcomes, patient risks, and quality measures.
Conduct advanced statistical analysis to support healthcare quality improvement initiatives.
Lead the development and implementation of analytics solutions related to HEDIS and STARS measures.
Collaborate with clinical and quality teams to enhance the accuracy and effectiveness of HEDIS measures.
Provide strategic insights and recommendations to improve STARS ratings based on data analysis
Strong experience working on US Healthcare industry - prior experience on Medicare STARS, HEDIS and Clinical Data preferred.
Integrate and manage diverse healthcare data sources, including claims, electronic health records (EHR), and patient surveys.
Ensure data integrity, quality, and accuracy in all analytics projects
Work closely with cross-functional teams, including clinical, IT, and operations, to align data science efforts with organizational goals.
Communicate complex analytical findings to non-technical stakeholders through clear and concise reports, visualizations, and presentations
Required Qualification and Skills:
Strong experience on analysis of Medicare claims based on ICD Codes, Risk factors and Medical Adherence, Proc Codes, LOINC Codes and others.
5-7 years of experience on Python, SQL and Tableau
Experience with big data technologies (e.g., Hadoop, Spark) and cloud platform Google Cloud Platform
Experience with DevOps practice, CI/CD pipelines
Experience in Designing, developing, and deployment of advanced predictive models, machine learning algorithms, and statistical analyses to solve complex healthcare problems, such as patient risk prediction, treatment optimization, and resource allocation
Excellent verbal and written communication skills, with the ability to convey complex information to diverse audiences.
Data Scientist with Google Cloud Platform cloud
Location: Anywhere
Posted: Aug. 22, 2024, 12:09 p.m.
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