27.4776, Jobs: Computational Linguistics; Phonetics: Researcher, EMR.AI Inc.

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LINGUIST List: Vol-27-4776. Mon Nov 21 2016. ISSN: 1069 - 4875.

Subject: 27.4776, Jobs:  Computational Linguistics; Phonetics: Researcher, EMR.AI Inc.

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Date: Mon, 21 Nov 2016 16:27:05
From: David Suendermann-Oeft [david.suendermann-oeft at emr.ai]
Subject: Computational Linguistics; Phonetics: Researcher, EMR.AI Inc., California, USA

 
University or Organization: EMR.AI Inc. 
Department: R&D
Job Location: California, USA 
Web Address: http://www.emr.ai/
Job Title: Research Scientist, Speech Recognition
Job Rank: Researcher

Specialty Areas: Computational Linguistics; Phonetics 


Description:

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI
solutions to the medical sector.  EMR.AI transforms unstructured information,
in form of written, spoken, or typed reports, clinical test results, and
radiographs into international standard codes saved in common EMR systems. The
wealth of discrete medical data provided through this transformation in
conjunction with EMR.AI's suite of medical analytics solutions enables
stakeholders, practitioners, researchers, health providers, and policy makers
to obtain a comprehensive picture of the medical data in their organization. 

Summary 

EMR.AI R&D has openings for Research Scientists in the field of Speech
Recognition in our Downtown San Francisco offices. Scientists will work on
projects spanning a variety of tasks including the semantic interpretation of
spoken medical reports, the design of language models for a variety of speech
recognition and NLP tasks, the summarization of spoken language in the medical
domain, the incorporation of lexica, ontologies, relational databases, and
other sources of structured and unstructured knowledge sources into EMR.AI’s
medical ASR and NLP tool set, and others. 

This is a unique opportunity to be part of a cutting-edge R&D team in the
epicenter of the world’s AI tech industry with true impact on medical
research. 

Responsibilities 

- Train, tune, and test acoustic, lexical, and language models for speech
recognition, speaker identification, and speaker diarization, for batch and
live recognition.
- Innovate components of the speech recognition pipeline to create excellent
results on a challenging task, including feature extraction, noise reduction,
speaker adaptation, dimensionality reduction, acoustic, lexical, and language
modeling, decoding, and syntactic and semantic post-processing.
- Process huge corpora of medical spoken reports and dialog interactions to
perform syntactic and semantic analyses using both existing tool benches,
proprietary and open-source, as well as self-developed algorithms and
techniques.
- Produce high-quality programs and scripts to embed scientific algorithms
into effective prototypes and demos to be shared with EMR.AI’s leadership
team, its customers, partners, and vendors.
- Create and document technological innovations by means of patent
disclosures, scientific publications, media alerts, and other channels.
- Work closely with EMR.AI’s NLP team and its software engineering division to
produce innovative and effective solutions for a range of AI products and
services in the medical domain.
- Represent the R&D division in communications with EMR.AI’s leadership team,
its customers, partners, and vendors at meetings, conventions, and other
venues as well as in written statements.

Skills 

PhD in computer science, computational linguistics, electrical engineering, or
a related field.  Experience in the state of the art of speech recognition and
its standard tools is required.  Candidates must be very skilled in
programming and must have a proven scientific track record.  They must be
excellent team players, including distributed teams, and strong in oral and
written English communication.  Knowledge of the US medical sector is
desirable, so are experience with start-ups and strong scientific connections
throughout the Bay Area and beyond. 

Benefits 

EMR.AI offers competitive salaries, an excellent benefit package, and a
stimulating work environment in the heart of San Francisco with manifold
local, domestic, and international commercial and academic partnerships.



Application Deadline: 31-Dec-2017 (Open until filled)
	  
Email Address for Applications: jobs at emr.ai 
Contact Information:
	David Suendermann-Oeft 
	Email: david.suendermann-oeft at emr.ai 


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