Data Scientist Intern

Phoenix, Arizona, United States

Applications have closed

Myndshft

Myndshft is the only fully automated prior authorization software delivering real-time benefits and prior authorization insights in any EMR

View company page

We are building a platform that will transform the landscape of healthcare by simplifying transactions to free providers up to focus on what matters and improve the lives of patients. We are seeking an ambitious individual that is eager to get hands-on experience working with Natural Language Processing, including text extraction, annotation, and model-building.

Specifically, you will:

  • Lead and support the text extraction process for identification of CPT/HCPC codes
  • Assist in annotation and curation of large datasets
  • Create and leverage NLP models for text extraction and semantic analysis
  • Develop and evaluate language models

Requirements

  • Second semester college junior or above, enrolled in a graduate program studying Computer Science, Electrical or Biomedical Engineering, Physics, or similar field leveraging computational programming
  • Experience in model building/NLP with Python (or other equivalent languages)
  • Experience in creating and maintaining large datasets
  • Experience in unit testing outputs/models
  • Experience leveraging public/private APIs
  • Have excellent time management skills and detailed oriented
  • Thrive in fast-paced environment while working in a collaborative team environment

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Computer Science Engineering NLP Physics Python Semantic Analysis Testing

Region: North America
Country: United States
Job stats:  73  20  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.