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Key Responsibilities:
- Utilize advanced analytics and LLMs to analyze healthcare claims, authorization data, and identify trends and outliers.
- Train and deploy machine learning models for classification, anomaly detection, and automated decision support.
- Build scalable data pipelines using AWS Airflow, Python, and PySpark to process large datasets.
Required Qualifications:
- Master’s degree in Data Science, Statistics, Biostatistics, or related field with 36 months of experience.
- Expertise in healthcare datasets (EMR, claims, SDoH), data quality analysis, and regression/outlier detection.
- Proficiency in NLP, LLM fine-tuning, Tableau visualization, and SQL for data analysis.
Work Environment:
- Fully remote position within the United States with occasional travel for onboarding and team events.
- Collaborative culture focused on integrating data science into business workflows for enterprise solutions.
Cohere Health, Inc.
Cohere Health is a healthcare technology company that uses data science to improve clinical outcomes and reduce costs. The company operates remotely with a focus on innovation and collaboration, employing a team of data scientists and engineers dedicated to transforming healthcare data into actionable insights.