Job Description:
- 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
- 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
Requirements
- Clinical NLP experience (cTakes, UIMA)
- Strong Java development experience
- Deep understanding of health care domain
- 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
- Experience with machine learning frameworks (like Keras, BERT or opennlp) and libraries (like scikit-learn)
- An analytical mind with problem-solving abilities
Key Skills:
NLP, Java, SQL, Ctakes, UIMA, Healthcare