Computational Linguist

Overview

The Computational Linguist has the responsibility for developing and maintaining custom NLP solutions for the Product Development organization, serving Precyse’s technology business lines. This position includes implementing and extending NLP software components, supporting the UIMA pipeline, and documenting work products. This position is highly collaborative with colleagues who work in a distributed setting, so strong communication skills are a must.

Responsibilities:

Create solid technical designs and product documentation as a foundation for all your work products.
Develop software code under the direction of team leadership and product management, following the Precyse agile development methodology.
Collaborate with your colleagues to integrate your ideas and components into the broader NLP software platform and assure on-time delivery of high-quality products.
Work with development, engineering, and quality assurance teams to support functional and load testing of developed applications and components.
Proactively work to provide customer-focused service in conjunction with the product team. Work effectively with management and peers.
Provide production support during and after business hours, as needed.
Expect change and exhibit flexibility in dealing with change.
Finish what you start.
Provide peer leadership through your consistent professional example. Share what you know and learn from your colleagues.
Protect the integrity and confidentiality of all data and information through physical and/or electronic means.
Observe all Policies and Procedures.
Other duties as may be assigned.

Company:

Precyse

Qualifications:

Required:

Bachelor’s Degree in Computational Linguistics, Linguistics, Computer Science with Linguistics focus, or equivalent discipline.
3+ years of demonstrated experience delivering real-world software solutions using Natural Language Processing, machine translation, or other related disciplines.
Demonstrated experience with modern programming and scripting languages is required, with preference to Java, C#, C++, PERL, and Python.

Preferred:

Masters degree in Computational Linguistics or related discipline.
Demonstrated experience with analytics frameworks such as UIMA.
Demonstrated experience with rules-based or supervised machine learning components.
Demonstrated experience in grammar and lexicon development, managing corpora, developing and improving parsers & grammars.
Experience with cluster computing including Spark or Hadoop.
Experience with commercial machine translation systems.
High degree of computer literacy with strong experience working in Windows, and Linux/Unix.
Experience with Microsoft IIS or J2EE compliant application server.
Experience in healthcare.
Consistent ability to make commitments and deliver results.
Demonstrated ability to work as a strong individual contributor on a dynamic team.
Excellent interpersonal skills coupled to strong oral and written communications skills.
Excellent time management and self-motivation skills.
Knowledge of NLP tools and data frameworks such as Stanford NLP, Scala, Spark, or Hadoop
Structural and semantic knowledge of other languages in addition to English.
Prior experience working in a remote or virtual environment is preferred.

When it comes to the ICD-10 conversion, Precyse is in a class by itself. We offer a comprehensive array of coding training programs through Precyse University including interactive games and labs, discussion forums, virtual chat as well as anatomical and procedural computer animations. Many courses are approved for CEUs. In addition, the Precyse Assist Coding Hotline and Helpdesk provides Precyse coders with 24/7 expert responses to specific technical coding inquiries.
Dedication to respect, personal integrity and best practices among Precyse colleagues are recognized with a variety of awards and programs. At Precyse, our colleagues are our most important asset. Join us and help deliver our vision: a world where meaningful information helps save time, money & lives. Computer equipment and a yearly allotment for required reference materials provided by Precyse.

Educational level:

Bachelor’s Degree

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying

http://searchcareers.precyse.com/index.php?m=portal&a=details&jobOrderID=4892709

Tagged as: Bachelor’s Degree, Clustering, Industry, Natural Language Processing, NLP, Parsing, United States