This is a senior data scientist and developer position within the data sciences group of the Hutch Data Commonwealth. An individual in this role provides programming, analytic, and data-processing support for scientific projects in the domain of natural language processing (NLP).
Reports to: Director of Data Science
Responsibilities include creating data pipelines and analytical data sets for projects pertaining to NLP; working with scientific investigators and other subject matter experts; defining and acquiring new data sources; developing software applications and tools for data processing and analysis. In addition to automated data extraction, there is also a need for NLP capabilities in new areas such as Chatbots for behavioral intervention.
NLP data scientists are also expected to take leadership in developing NLP as a particular applied data science area for HDC. This includes contributes to the concept, design and realization of more broadly applicable and scalable NLP solutions and making NLP capabilities more scalable and usable by Hutch research groups.
PhD (strongly preferred) or Master’s degree in computational linguistics, language technologies or computer science, with a distinct natural language processing and understanding focus
5 years or more experience in applied research and also development of NLP systems and solutions
Experience with and knowledge of open-source NLP software resources, for instance GATE, UIMA, OpenNLP, MedKATp, cTakes etc.,
Experience with working with biomedical ontologies and resources (such as SNOMED, UMLS, BioPortal etc.,)
Data preparation and management
Programming proficiency in Python
Strong communication skills
NLP solution development in the biomedical domain
Machine-learning, particularly active learning
Data annotation solutions, particularly semi-automated or crowd-sourced
Technical publications in the field
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