General Electric Master Thesis Worker - Clinical Data Analysis in Helsinki, Finland

About Us:

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

Role Summary:

We are looking for a Master Thesis worker (Intern) for Clinical BigData Analysis.

We collect clinical data from patient monitors in hospitals, and are using that to identify patterns that help predict disease states by shifts and changes in vital signs (including Hemodynamics, Ventilation and Oygenation).

Essential Responsibilities:

  • Use the available clinical data for prediction of patient state and early intervention.

  • Patient deteriation is thus avoided and the amount of severe alarm states of patient monitors will be reduced.

  • Create a system that validates prediction performance of algorithm versions based on new data added to the clinical databases.


  • Bachelors degree in computer science/mathematics/bioinformatics

  • Experience with data analysis with MATLAB

  • Experience with machine learning techniques

  • Fluency in English, both spoken and written

  • EU work permit

Desired Characteristics:

  • Experience on working with large numeric data sets

  • Experience on continuous integration systems for software development

  • Experience analyzing physiological data

For further information please contact Engineering Manager Rene Coffeng (

Please apply by sending your resume, application and grade report (merge in one PDF before uploading) through

Locations: Finland; Helsinki

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.