Note: The job is a remote job and is open to candidates in USA. Cohere Health, Inc. is hiring a Data Scientist II to analyze healthcare claims and authorization data and produce actionable insights. The role develops data models, algorithms, simulations, and machine learning solutions, including LLMs, to support decision-making, detection strategies, and business workflows.

Responsibilities

• Gather business requirements and apply trend analysis to identify actionable insights using analytic tools
• Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities
• Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision-making
• Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership
• Train, fine-tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security-related or operational data
• Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes
• Develop data models, algorithms, and simulations to support analytical objectives
• Build visualizations and dashboards to communicate analytical findings and support business workflows

Skills

• Must have a Master's degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent)
• 36 months of experience as Analyst or related position analyzing datasets
• Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills:
• Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data
• Performing data quality analysis to identify data quality issues, gaps, or inconsistencies
• Building scalable AWS Airflow pipelines to ingest, integrate, and transform terabytes of data using Python and PySpark and AWS S3 storage, and accelerate business decision-making in AWS Sagemaker
• Utilizing trend identification and data analysis methods such as regression analysis and outlier detection model in python, spark and sql
• Building and implementing models, creating algorithms, and running simulations
• Developing Tableau visualization and partnering with product owners and stakeholders to drive enterprise-level solutions that integrate data science into business workflows
• Developing NLP, LLMs (extractive and generative), fine-tuning, and LLM model development

Benefits

• Fully remote position; may be performed from anywhere within the United States

Company Overview

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