Senior Data Scientist (Biomedical NLP) | Mission-Driven MedTech Stealth Start-up

Intelletec has partnered with a Mission-Driven MedTech company, who's products will have a real-life impact on the future of diagnosing and treating illnesses, injuries, and diseases. The mission is to improve the quality and efficiency of healthcare; making the highest quality healthcare available to everyone.

Senior NLP data scientists define and implement strategies to handle free-form medical text, including developing internal NLP packages and/or heavily customizing open-source solutions. They contribute to the development of ontologies and associated biomedical tooling, and support various other data science initiatives.

Responsibilities

Design and implement NLP pipelines to extract structured content from free-form radiology text
Help define and build core ontologies
Define NLP methodologies, including information models and ontologies
Develop or heavily customize open source solutions for Named Entity Recognition, POS tagging, and syntactic dependency parsing that will work on domain-specific medical data
Develop tools for manual and automated label annotation of free-text radiology reports
Work with annotation team to develop labeled training and test datasets
Build internal tools and define associated statistics to provide insight into algorithm performance

Requirements

Advanced degree in computational linguistics, informatics, or related field
Experience building and using ontologies and knowledge graphs to support natural language processing, data integration, and analytics
Deep understanding of core NLP/NLU algorithms, tasks, model architectures, and open-source resources: CRFs, Neural Networks (LSTMs, dense vector embeddings), rules-based/regex approaches. Named Entity Recognition and Disambiguation, POS tagging, syntactic dependency parsing. spaCy, gensim, NLTK, StanfordNLP, annotation tools (e.g. Brat, Daccano)
Track record building and productionizing NLP models in an industry setting
Expert coding ability

Experience leading teams and mentoring junior data scientists

Benefits

Stock
Competitive salaries
Paid time off
Medical insurance
401(k)
Apple equipment
Dedicated research computing resources
Catered lunches and team events
Sponsorship for conferences