medCPU, a software company specializing in Clinical Decision Support (CDS) software for the healthcare industry, is looking for an NLP Engineer to join our growing Pittsburgh team!
The NLP engineer will design, implement, test, and maintain medCPUs clinical information extraction systems. Works with an interdisciplinary team of clinical professionals, software engineers, and decision support analysts to deliver value on key healthcare outcomes such as quality, safety, and cost-effectiveness of health care delivery. Fast-paced, start-up environment, with immediate impact on patient care.
At medCPU, we work in small teams (4-6 people) focusing on an aspect of the overall project. Our engineers, QA and product analysts work together to build solutions that meet the needs of our customers and internal operations teams. Our engineers evaluate new approaches, frameworks, and libraries on a regular basis and strive to ensure we’re using the best tool for the team and the job at hand.
Design, develop, test, and maintain NLP pipeline for real-time clinical information extraction.
Develop and evaluate methods for real-time classification and inference from complex streams of NLP annotations.
Develop and evaluate clinical NLP components for new use cases, within a standard pipeline-based framework (e.g. tokenization, parsing, POS tagging, entity recognition, relation extraction, etc).
Work closely with clinical terminologist to ensure adequate coverage, structure and detail of medCPU terminologies for NLP components.
Work closely with decision support specialists and engineers to ensure adequate performance (both speed and accuracy) of NLP systems to support medCPU decision support goals.
Participation in the full software development cycle using Agile methodology
BS, MS, or PhD degree in Computer Science or related field
3+ years of experience with developing NLP or text-mining applications
Knowledge of and experience with one or more NLP pipeline architectures (UIMA, GATE)
Knowledge of clinical NLP pipelines (e.g. Apache cTAKES), standard terminologies (e.g. SNOMED), and data standards (e.g. HL7, FHIR)
Ability to evaluate NLP systems using standard performance metrics, and to iteratively increase performance using error analysis
Previous experience developing statistical and machine learning language models a plus
Ability to write well documented and clean code using software engineering best practices
Additionally, The Following Skills Would Be Desirable
Java 8 and Spring Framework
RESTful API development
RDBMS such as MSSQL, Postgres, etc.
Unit and integration testing
Cloud technologies and architecture such as AWS
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying