Cynet Systems
NLP Data Scientist - Remote / Telecommute
Cynet Systems, Minneapolis, Minnesota, United States, 55400
Job Description
Responsibilities and Duties
Develop innovative NLP solutions using knowledge bases, symbolic AI, and large language models for medical chart analysis.
Collaborate with data scientists, ML engineers, data engineers, and software developers to integrate NLP systems into production.
Stay informed on the latest advancements in NLP and large language models to improve data processing.
Use tools like Python, PyTorch, and Transformers for model development and optimization.
Analyze large datasets to extract key medical insights supporting insurance processes.
Ensure adherence to data privacy standards and healthcare regulations.
Requirement / Must Have
Master's degree in Computer Science, Data Science, Computational Linguistics, or a related field.
At least 5 years of relevant experience.
Strong analytical, problem-solving, and collaboration skills.
Experience
Proven expertise in NLP, including hybrid methods using knowledge bases, symbolic AI, and large language models.
Hands-on experience with Python, PyTorch, Transformers, and other deep learning technologies.
Familiarity with medical terminologies and experience in extracting information from medical charts.
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Develop innovative NLP solutions using knowledge bases, symbolic AI, and large language models for medical chart analysis.
Collaborate with data scientists, ML engineers, data engineers, and software developers to integrate NLP systems into production.
Stay informed on the latest advancements in NLP and large language models to improve data processing.
Use tools like Python, PyTorch, and Transformers for model development and optimization.
Analyze large datasets to extract key medical insights supporting insurance processes.
Ensure adherence to data privacy standards and healthcare regulations.
Requirement / Must Have
Master's degree in Computer Science, Data Science, Computational Linguistics, or a related field.
At least 5 years of relevant experience.
Strong analytical, problem-solving, and collaboration skills.
Experience
Proven expertise in NLP, including hybrid methods using knowledge bases, symbolic AI, and large language models.
Hands-on experience with Python, PyTorch, Transformers, and other deep learning technologies.
Familiarity with medical terminologies and experience in extracting information from medical charts.
#J-18808-Ljbffr