Advanced Technologies Data Scientist

Tuesday 10th May 2022

Organization GE Healthcare
Location Zipf, Austria.
Title Advanced Technologies Data Scientist
Email Address
Date of Closing : Oct 2022.

Job Description Summary

As a member of our advanced technology team, you will develop new algorithms for system/scanner usage analytics. You will play a crucial role in translating clinical feedback into innovative ideas and finally software solutions.

Job Description

GE Healthcare is a leading global medical technology and digital solutions innovator with over 100 years of healthcare industry experience and around 50,000 employees globally. We enable clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by our Edison intelligence platform. We operate at the center of an ecosystem working toward precision health - digitizing healthcare, helping drive productivity and improving outcomes for patients, providers, health systems and researchers around the world.


The role requires a focus on the understanding of product lifecycle, conduct scientific feasibility studies or algorithm development in the field of system analytics, employing state of the are data science concepts and machine learning algorithms.
This role will entail interacting with service teams, clinical product management addition to external academic and industrial partners to develop systems and strategies for analyzing and identifying system areas to improve performance, reliability, and customer workflows.
You will also participate in the development of the architecture and specifications for our next generation ultrasound systems.
If you are a communicative and assertive team player who enjoys realizing innovative ideas as part of a dynamic team, then you are the right person for us.

Required Qualifications

Master’s degree in computer science, electrical engineering, mathematics, physics, biomedical engineering or a related field + 3 years of work experience, or a PhD in the relevant fields.
Deep proven experience in data science, ideally with focus on pattern recognition, data analytics and machine learning, applied to system performance
Experience in assembling large, complex data sets that meet functional / non-functional business requirements.
Strong analytic skills related to working with both structured and unstructured datasets.
An excellent working ability in languages such as R, Python, MATLAB is expected.
Experience of working with a wide variety of data sources using technology such as SQL and AWS ‘big data’ technologies.
A very good standard of written and spoken English is essential for this position.

Desired Qualifications

You demonstrated the ability to write C++ code both for quick demonstration of ideas and robust, efficient, scaled-up software systems.
Experience in working in cross functional teams and project management.
Experience in building analytics tools that use system performance and usage data to provide actionable insights into customer acquisition, operational efficiency, service efficiency and related areas
Knowledge and experience of working with data visualization tools