Data Scientist II — Healthcare AI & Claims (Remote)

Cohere Health, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Cohere Health, Inc. is seeking a data science professional to analyze healthcare claims and authorization data, building models to identify trends and improve decision support.

You will apply NLP, LLM fine-tuning, and Tableau visualization to turn complex datasets into actionable insights. This fully remote role within the United States offers collaboration with a distributed team and occasional onboarding travel.

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.
  • 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.

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.

Skills

Data analysis
NLP
LLM fine-tuning
Tableau
SQL
Python
PySpark

Education

Master's degree in Data Science/Statistics/Biostatistics or related field

Tools

AWS Airflow
Python
PySpark

Job description

Cohere Health, Inc. is seeking a data science professional to analyze healthcare claims and authorization data, building models to identify trends and improve decision support.

You will apply NLP, LLM fine-tuning, and Tableau visualization to turn complex datasets into actionable insights. This fully remote role within the United States offers collaboration with a distributed team and occasional onboarding travel.

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