CodaMetrix is a well-capitalized and early-stage company focused on solving some of the more interesting problems in healthcare administrative and clinical areas. The company was formed by the Massachusetts General Physician Organization (MGPO), and Partners Healthcare System (PHS) to help commercialize and build upon internally developed, and highly utilized AI-based applications.
CodaMetrix is led by proven entrepreneurs, technology and healthcare veterans, whose vision is to create a highly desirable atmosphere for technical talent to flourish and develop innovative, significant, reliable, and broadly utilized solutions.
The Natural Language Processing (NLP) engineer will join the machine learning team and reports to the director of machine learning and AI. The team is responsible for inventing, developing, and deploying new models and techniques using healthcare data to improve administrative and clinical functions in delivering care. The NLP engineer will contribute to invention, development, and deployment of state-of-the-art NLP tools using large scale healthcare data.
Designs and implements creative solutions for a broad range of NLP problems in healthcare domain.
Demonstrates deep knowledge of NLP prior art.
Demonstrates proficiency in training and tuning NLP language models for best trade offs for the application.
Collaborates with machine learning and engineering teams for incorporating NLP capabilities into the solution.
Incorporates an expansive set of unit tests to provide reasonable test coverage and protection from regressions.
Characterizes performance of solutions for adequate speed and scale.
Documents solutions clearly and works with QA team to ensure proper testing.
Functions within an agile scrum team, embracing all tenets of scrum.
Bachelor’s Degree in Computer Science, Engineering, Information Systems or Math.
Masters’ Degree or advanced degree in Linguistics is a plus.
Strong technical credentials, with at least 2 years of professional experience working in a relevant field: machine learning, deep learning,, information retrieval, natural language understanding, etc.
Solid fundamentals in problem solving, algorithm design, complexity analysis, mathematics and statistics.
Proficiency in a major programming language (Python, Java, Scala or similar).
Hands-on experience with NLP/Machine Learning/Deep learning tools and libraries.
Superior verbal and written communication and presentation skills.
Familiarity and hands-on experience with healthcare data is a plus.