NLP Data Scientist

TechDigital Group; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology company in the United States is seeking an experienced NLP Data Scientist to develop innovative solutions for analyzing medical charts. The ideal candidate will have a Master’s degree and at least 5 years of experience in NLP, particularly with hybrid methods. They will collaborate with a team of experts and utilize advanced tools like Python and PyTorch. This is a fantastic opportunity to contribute to the efficiency of insurance processes while ensuring compliance with healthcare standards.

Qualifications

• Master's in a relevant field and at least 5 years of experience.
• Proven experience in NLP with hybrid methods.
• Familiarity with medical terminologies.

Responsibilities

• Develop innovative NLP solutions for medical chart analysis.
• Collaborate with data scientists and engineers on the integration of NLP systems.
• Analyze extensive data sets to extract key medical insights.

Skills

NLP methods

Deep learning

Machine learning

Large language models

Python

PyTorch

Transformers

Analytical skills

Problem-solving skills

Teamwork skills

Education

Master's in Computer Science

Master's in Data Science

Master's in Computational Linguistics

Tools

Python

PyTorch

Transformers

Job description

Overview

We are looking for a talented NLP Data Scientist proficient in hybrid NLP methods, deep learning, machine learning, and large language models. The candidate will join an established team of experts to employ traditional and advanced NLP techniques in analyzing medical charts. This role is critical in extracting and interpreting complex medical data for actionable insights.

Responsibilities

• Develop innovative NLP solutions using knowledge bases, symbolic AI, and large language models for medical chart analysis.
• Work collaboratively with data scientists, ML engineers, data engineers, and software developers to integrate NLP systems into our production environment.
• Stay updated with the latest advancements in NLP, especially large language models, to enhance our data processing capabilities.
• Utilizetools like Python, PyTorch, and Transformers for model development and optimization.
• Analyze extensive data sets to extract key medical insights, contributing to the efficiency of insurance processes.
• Ensure compliance with data privacy standards and healthcare regulations.

Qualifications

• Master's in Computer Science, Data Science, Computational Linguistics, or a related field. At least 5 years of experience.
• Proven experience in NLP, especially with hybrid methods involving knowledge bases, symbolic AI, and large language models.
• Experience in Python, PyTorch, Transformers, and other relevant deep learning technologies.
• Familiarity with medical terminologies and proficiency in information extraction from medical charts.
• Excellent analytical, problem-solving, and teamwork skills.