As an NLP Engineer, you will extract, interpret, and synthesize an extremely diverse set of diagnostic lab data - with the goal to standardize this data, making it machine readable, interoperable, and more discoverable and accessible. Successful candidates will have a strong understanding of NLP techniques and hands on experience with Java.
Responsibilities:
- Designing and developing NLP applications for medical entity extraction and text mining
- Design Database to store NLP entities and relationship
- Using effective text representation techniques and classification algorithms
- Training and evaluating models
- Study and transform data science prototypes
- Design end to end java applications
- Find and implement the right algorithms and tools for NLP tasks
- Perform statistical analysis of results and refine models
- Extend ML libraries and frameworks to apply in NLP tasks
- Remain updated in the rapidly changing field of machine learning
Skill Set -
- Clinical NLP experience (cTakes, UIMA)
- Strong Java development experience would be preferred.
- Familiarity with Ontology tools and technologies
- Proven experience as an NLP Engineer or similar role/Track record in NLP/NLU and related technologies
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Ability to effectively design software architecture
- Knowledge of Python, SQL
- Ability to write robust and testable code