SAVANA (www.savanamed.com) is an award-winning, international medical company aiming to accelerate health science by putting into the hands of healthcare providers the power to unlock all of the clinical value embedded within existing Electronic Health Records (EHRs) with Artificial Intelligence and Natural Language Processing. Always ensuring maximum privacy and security.
Founded in 2014, Savana developed EHRead, a powerful technology that applies Artificial Intelligence (AI), such as Natural Language Processing, Machine Learning, and Deep Learning, providing real-time access to patient populations information, reading all clinical documents, including unstructured information, converting this information into knowledge. The artificial intelligence developed by SAVANA converts the free text incorporated in the electronic medical records into reusable clinical parameters, to generate RWE (Real World Evidence) drawn from more than 400+ million clinical records from all sources.
SAVANA Manager is currently in more than 100 hospitals and 25 RWE (Real World Evidence) studies are ongoing with SAVANA Research in 80 hospitals. Savana is venturing on International Studies Worldwide. The company is currently expanding to English, French and German speaking markets.
We are already implemented in the US, reaching an exponential growth in the US market by 2021 and as of the moment there are more than 80 employees in Europe.
As a Natural Language Processing (NLP) data scientist you will be working with the latest technologies and challenges to find the boundaries of those technologies to take our product to the next level. Do you like developing Machine Learning models and want to apply these skills to something as meaningful as healthcare? Then this should be the right challenge for you!
Develop or adapt and deliver AI models to read unstructured medical reports
Evaluate and validate current and futures processes
Take ownership of our German NLP pipeline
Develop and deliver the required tools necessary to execute the research projects
Publish technical papers
Daily stand-up meeting to start the day and Scrum rituals to help team auto organization
Desired skills and expertise: The ideal candidate
Master ́s degree or proven equivalent experience in computer science fields (data science, NLP, biomedical engineering …)
Strong knowledge in machine learning model development proven by at least 2 years of experience
Strong knowledge of NLP
Solid organization skills including attention to detail and multitasking skills
Work effectively under time-pressure
Flexible to changing priorities and environment
Fluency in German, both written and spoken is a must
Fluency in English, both written and spoken
Proven effective team work spirit
Proficient in python programming
Experience with Sparks would be a plus
Level of experience (years):
Mid Career (2+ years of experience)