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Data Scientist

Navina

Tel Aviv, IL
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Digital Health
  • Post Date: 07/20/2021
  • Email: jobs@navina.ai
  • Website: www.navina.ai
  • Company Address: Menachem Begin 156, Tel Aviv

About Navina

Navina uses medically-informed AI to replace disorganized patient data with an intuitive Patient Portrait – a logical grid that makes it possible for every primary care physician to assess even the most complex cases in minutes. Designed for and loved by physicians, Navina allows for high quality and empathetic patient care, resulting in better treatment, reduced missed diagnoses and enhanced financial performance for providers and payers.

Job Description

Navina is an early-stage AI startup in the field of Digital Health.

Our core mission is to move primary care by family physicians into the 21st century, using a data driven approach.

Navina’s system aggregates medical data from all available data sources into a single clinical snapshot, highlighting critical information and delivering it to the clinician at the point of care. This is done using cutting edge Deep Learning and NLP algorithms.

 

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Requirements

Must have requirements:

  • B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree)

  • 2+ years of hands-on experience with Machine Learning and Deep learning algorithms

  • High proficiency with Python and SQL 

  • Experience developing end to end data science solutions in production, writing scalable and automated solutions

  • Team player with strong communication and collaboration skills


Advantages:

  • Experience with NLP and NLU algorithms, including Question & Answering, Reading Comprehension, Language Embeddings, Dialog, etc

  • Ph.D. in an analytical field

  • Deep knowledge in one or more of the following fields: Time series Analysis, Computer Vision, Voice recognition

  • Experience working with Docker, Kubernetes, AWS, Spark, Hadoop