Iodine Software equips healthcare teams with the most innovative tools to quickly identify and prioritize discrepancies in their clinical documentation. By leveraging new technologies like Machine Learning, Artificial Intelligence, and Natural Language Processing, our platform can both predict the underlying health conditions affecting patients and interpret the existing clinical documentation to identify gaps, ambiguities and inaccuracies, in turn positively influencing team performance and patient outcomes.
If you are interested in working with a dynamic team on cutting edge software, and applying your NLP expertise, then please come join us!!
What You Will Be Doing..
In this position, you will be leveraging the latest advancements in NLP and our existing corpus of over a 100 million clinical notes to develop a state of the art pipeline for interpreting clinical text in realtime. Key problems include information extraction from mixed narrative and semi-structured text, dealing with word sense disambiguation, abbreviated terms and contextual resolution of mentions. Working with the rest of our data science team you'll develop ML models utilizing the clinical insights derived from textual notes combined with structured clinical data to identify disease and disorders affecting the patient, associated treatments and gaps in the documentation.
Proven experience leveraging NLP techniques to extract meaning from text
MSc or PhD in Machine Learning and NLP or equivalent practical experience
Solid engineering skills required
Experience in Java, Python or Grails preferred
Strong attention to detail
Comfortable working with a small team in a fast paced, highly collaborative environment
What You’ll Get
This is an opportunity to join a close-knit, rapidly growing, engineering-led team. You will be working on the latest technologies pushing the boundaries of our industry and impacting the way health systems leverage technology to improve patient outcomes. You will have a direct voice on how we innovate our product. Join us and make healthcare better for everyone.