Big data and machine learning are transforming the field of healthcare. GE Healthcare is strengthening its Data Science Team in Helsinki. We develop machine learning tools that will help clinicians to make faster and more accurate care decisions for the improved safety and health of their patients. We are looking for several Master’s Thesis Trainees for a medical technology development project for approximately 9 months.

Essential Responsibilities

• You will develop an algorithm, applying machine learning techniques, that will solve a clinical problem. For example, your algorithm would predict if a particular clinical problem is likely to occur or not.
  
• Your solution will utilize clinical data that may include physiological measurements, signals, natural language, and/or image data. You will be responsible for processing the data into a format that you can use for your development work.

Qualifications/Requirements

• BSc in computer science /statistics, with education in data management and analytics (or equivalent knowledge/experience)
  
• Good command of the relevant programming languages (such as Python), development frameworks (Hadoop, Spark, Theano, TensorFlow), database tools (SQL), and operating systems
  
• Good communication and presentation skills
  
• Fluency in English, both spoken and written
  
• EU work permit

Desired Characteristics

• Experience in analysis of time series data
  
• Signal processing skills
  
• Experience in natural language processing
  

  
  What we offer:
  

• Work with and learn from talented experts in the health technology industry
  
• Work in a team with great spirit and supportive colleagues
  
• Work in a diverse multicultural environment
  
• Have access to world class processes and professionals across different functions
  
• Great opportunity to learn and develop various technologies
  
• Office in Vallila, in central Helsinki with own on-site parking, gym, great café and restaurant services supported by employer
  

  
  Interested? 
  Please apply through www.ge.com/careers no later than September 22, 2019. 
  For further information please contact Chief Scientist Hanna Viertiö-Oja (email hanna.viertio-oja(at)ge.com).
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