Medical Informatics team develops clinical decision support, auditing, and virtual care solutions for Kaiser Permanente (KP). Our unique operational position within KP gives us complete access to KP's massive EHR and a broad mandate to develop machine learning models and applications for all aspects of clinical care and delivery. Our products are deployed throughout KP’s nationwide network and impact the lives of over 10 million patients.
Our Data Science Team is looking for talented Machine Learning Scientists and Engineers to help develop our new project focused on smarter clinical triage. Unlike existing clinical triage products and symptom checkers, we are able to leverage our extensive Natural Language Understanding pipeline to generate evidence-based content from clinical data, giving us unprecedented symptom and diagnoses coverage.
Our Applications Team is looking for backend engineers with 3+ years experience in Java to help support our production applications for clinical decision support and quality. KP Medical Informatics developed and supports an NLP pipeline that analyses in real time nearly every progress note written by a KP medical professionals during their interaction with patients. As a backend engineer you will be responsible with maintenance and development of additional pipeline capabilities as well as new applications that leverage our natural language insights.