Eon Careers

Data Scientist

July 7, 2021

Work with the industry leader

Eon is the leader in Patient Management Software, one of the fastest-growing areas of healthcare enterprise sales. Our Patient Management Platform has some of the biggest clients in healthcare because we have a highly differentiated value proposition that is uniquely appealing to an enterprise: pre-built applications with a deeply configurable, no-code platform for integrated EPM throughout an organization.

 

As the leader in the EPM market, we are pioneering the applied use of Artificial Intelligence to enable next-generation health enterprises at organizations ranging from small integrated networks to Fortune 500 companies.

 

Position overview

This is an opportunity to join the innovation division of EON, a leader in the healthcare patient management space, and expand our Computational Linguistics and Machine Learning capabilities. You will work with our Data Science, Engineering and Product teams to develop product features based on Computational Linguistics and Machine Learning technologies, ensuring that these new features address customer needs.

 

You have a proven track record of creating CL models to extract information from unstructured texts, using advanced statistical methods to understand model results, and developing software to support these processes. You have a strong mathematical and statistics background, with the ability to understand algorithms and methods from a mathematical and intuitive viewpoint. In addition, you have a keen sense of ownership, resilience, and drive; like dynamic projects and enjoy being challenged; are comfortable in evolving requirements and occasional uncertainty, and enjoy making a difference in people’s lives.

 

In this role, you will apply Computational Linguistics and Machine Learning to create systems that innovate healthcare products at scale. In addition to a world-class data set, you’ll also have access to domain experts for annotations to help drive investigation and learning.

 

Required Skills

  • Proficiency in Python and SQL
  • Experience in one or more of the following languages: C++, Java, C#
  • Working knowledge of Unix commands and good security practices
  • Experience using Machine Learning frameworks such as TensorFlow, Keras, PyTorch, scikit-learn
  • Experience in developing and validating Computational Linguistics models
  • Experience with spaCy is a huge plus
  • Experience in constructing and executing queries to extract data for exploratory data analysis and model development
  • Experience performing training/testing/validation dataset construction
  • Experience with supervised and unsupervised Machine Learning techniques and methods
  • Deep understanding of CL fundamental concepts and models, such as language modeling, word embeddings, topic modeling, text categorisation, information extraction, natural language understanding, transfer learning
  • Familiarity with knowledge representation, automated knowledge acquisition, and reasoning
  • Deep understanding and experience in applying ML algorithms, such as Logistic Regression, Decision Trees, SVM, Naive Bayes, kNN, Random Forests, Dimensionality Reduction Algorithms, K-means clustering, etc.
  • Understanding and experience with Deep Learning algorithms
  • Experience with AWS
  • Experience with Elasticsearch
  • Experience with graph databases, ideally Neo4j
  • Solid knowledge of Data Structures and Algorithms, including algorithm complexity
  • Experience with visualisation libraries such as Matplotlib, ggplot, etc.
  • Problem-solving, debugging, troubleshooting, designing, and implementing solutions to complex technical issues
  • Knowledge of advanced software engineering practices including Agile techniques
  • Proven record of writing robust, clean, and understandable code
  • Ability to take ownership of a task and ensure its successful completion

 

Qualifications

  • Graduate degree (or equivalent experience) in Computer Science, Machine Learning or other quantitative fields
  • 7+ years of experience in developing and implementation of quantitative models
  • 3+ years of experience in managing people and projects

 
Good to have

  • Working experience in a healthcare environment, with a healthcare software vendor, or in a public health setting
  • Expertise in Natural Language Processing (NLP) in the clinical or biomedical domain
  • Experience in developing CL models using spaCy
  • Experience in training custom spaCy models is a huge plus

 

EON is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. Our culture celebrates diversity and we are committed to creating an inclusive environment for all team members.

 

If you’re interested, don’t delay. Get your resume to us.