Remote Data Scientist II — Healthcare AI & LLMs

Cohere Health; Boston (MA); À distance; USD 137 000 - 161 000; Plein temps

Résumé du poste

Cohere Health is seeking a Data Scientist II to gather requirements, analyze healthcare claims, and apply NLP/LLMs to support decision-making. The role involves building scalable data pipelines on AWS, developing models, and creating dashboards to communicate insights to stakeholders.

Requirements include a Master’s degree in Data Science or related field and at least three years of experience working with healthcare data, Python, SQL, Spark, and visualization tools.

Qualifications

• Master's degree in Data Science, Statistics, Biostatistics or related field.
• 3 years of experience analyzing datasets, including healthcare data.
• Experience building and maintaining AWS-based data pipelines and ML workflows.
• Proficiency with Python, SQL, Spark and data visualization tools.

Responsabilités

• Gather business requirements and apply trend analysis to identify actionable insights.
• Analyze healthcare claims and authorization data to discover patterns and opportunities.
• Apply LLMs, NLP, and related technologies to support decision-making.
• Train, fine-tune, and implement LLMs and deep learning models for anomaly detection and classification.
• Develop data models, algorithms, and simulations to support analytical objectives.
• Build dashboards and visualizations to communicate findings and support workflows.

Connaissances

Data analysis

Statistical modeling

NLP/LLMs knowledge

Communication with stakeholders

Cloud data analysis

Formation

Master's degree in Data Science or related field

Outils

AWS Airflow

Python

PySpark

AWS S3

AWS SageMaker

SQL

Spark

Tableau

LLM development

Description du poste

Cohere Health is seeking a Data Scientist II to gather requirements, analyze healthcare claims, and apply NLP/LLMs to support decision-making. The role involves building scalable data pipelines on AWS, developing models, and creating dashboards to communicate insights to stakeholders.

Requirements include a Master’s degree in Data Science or related field and at least three years of experience working with healthcare data, Python, SQL, Spark, and visualization tools.