11.673, Jobs: Computational Linguist (Bio-Medical)

[The LINGUIST Network]

LINGUIST List:  Vol-11-673. Fri Mar 24 2000. ISSN: 1068-4875.

Subject: 11.673, Jobs: Computational Linguist (Bio-Medical)

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1)
Date:  24 Mar 2000 23:15:00 -0000
From:  Larry Pasquale <jobs at ingenuity.com>
Subject:  Comp Linguist (Bio-Medical) at InGenuity Systems, California USA

-------------------------------- Message 1 -------------------------------

Date:  24 Mar 2000 23:15:00 -0000
From:  Larry Pasquale <jobs at ingenuity.com>
Subject:  Comp Linguist (Bio-Medical) at InGenuity Systems, California USA


Rank of Job: Mid to Senior Level
Areas Required: Bio-medical
Other Desired Areas: Science, Chemistry, Internet, NLP
University or Organization: InGenuity Systems
Department: Knowledge Engineering/Acquisition
State or Province: California
Country: United States
Final Date of Application: April 30, 2000
Contact: Larry Pasquale jobs at ingenuity.com

Address for Applications:
500 Ellis Street
Mt. View
California 94043
United States

Computational Linguist

Join a leading-edge team that is developing NLP systems to facilitate
automatic information extraction from the biomedical literature. As a
Computational Linguist.

Your responsibilities will include:

Design and implementation of an information extraction system for
biomedical literature.
Formulation, editing, and evaluation grammar rules for text-based
biological data mining.
Projects involving search, retrieval, and presentation of information
from the InGenuity knowledge base

Education:

Master or Ph.D. in Computer Science or Linguistics with a focus on
Natural Language Processing

Requirements:

At least two years of experience in developing applications for
text-processing, information retrieval, or other related products.
Knowledge of and experience with tagging, parsing, semantic processing,
language generation, NL querying, and information extraction.
Good analytic and problem-solving skills
Working knowledge of PERL, C/C++, or Java

Preferred:

Familiarity with biomedical literature and vocabulary a plus
Knowledge of and experience with existing NLP tools

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