We are looking for a Senior Applied Scientist – NLP with extensive experience or strong interest in healthcare. You will collaborate with SMEs in data science and medicine. This is an individual contributor position.
What you will do:
Research and understand ways in which NLP is bringing value to business stakeholders
Be the subject matter expert in Natural Language Processing within Healthcare ML.
Technically lead the projects in NLP and health data science.
Develop deploy-ready ML models.
Understand client requirements.
Keep up with the literature in NLP and Health ML.
Review the literature to support development of new business cases in healthcare ML.
Present proposals, plans, and technical material to wide variety of audience from clinicians to board members.
Qualifications and Experience:
PhD or MS in NLP, Computational Linguistics, Information Retrieval, Computer Science, Machine Learning, AI, or a related area with strong grasp of ML methods for structured and unstructured data.
2+ years of post-PhD or 4+ years of post-MS work experience.
Depth in at least one of the following NLP domains: Text Classification, Information Extraction, Syntactic / Semantic Parsing, Language Modeling, Text Summarization, Question Answering, Machine Translation, Language Generation.
Awareness of the modern ML literature including Transformers and graph ML.
Fluency in the usual: python, pytorch, tensorflow, sklearn, pandas, etc.
Fluent in at least one NLP library: nltk, spacy, textblob, sparknlp, allennLP, corenlp, huggingface, genism, or similar.
Working comfort with software development tools such as git, docker, bash scripting, etc
Comfortable with text processing (strings, regular expressions, web scraping).
Ability to implement and evaluate NLP models from literature, train and adapt off-the-shelf models to a new domain / language.
A strong enthusiasm for learning new things is essential for success in these roles. Further, we believe teams win and fail together– essential that you are willing to learn from/teach others.
An interest in healthcare.
Good to have:
Understanding of healthcare IT infrastructure and tools including DICOM, HL7, FHIR, etc.
Experience working with domain ontologies such as SNOMED-CT, ICD9 &10, RxNorm, MeSH, etc.
Experience with clinical NLP / bioNLP tools, datasets, software (e.g. biobert, scispacy, jsl)
Familiarity with Spark, SQL
Familiarity with Multimodal Models: text/images, text/speech, etc.
What is Abu Dhabi like?
Capital of UAE and located close to Dubai, Abu Dhabi is a family-friendly city that offers the right balance between megacity-convenience in a small-town liberal setting with access to two major international airports (Abu Dhabi and Dubai) offering non-stop flights to all parts of the world. Abu Dhabi is home to several world-class universities, schools, hospitals, and recreation centers including New York University (NYU), Cleveland Clinic, Berklee College of Music, The Louvre Museum, Ferrari World, Warner Brothers Theme Park, Yas Waterworld, and many others. With several pristine fine-sand beaches, Michelin-rated multi-ethnic restaurants, amazing parks, water-front activity areas, mangrove national park, a bird sanctuary within the city, and mountains/desert a short distance away, Abu Dhabi offers superb opportunities for work and play.