Posted:
1/27/2026, 4:07:15 PM
Location(s):
Uusimaa, Finland ⋅ Helsinki, Uusimaa, Finland
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Your role is to derive statistical performance metrics, such as ROC, to the different pain monitors
Mathematically characterize multiple physiological signals and build machine learning model based on the signals
Evaluate it usefulness by simulating it’s use with authentic physiological data .
Qualifications/Requirements
Bachelor’s degree in biomedical engineering, information processing or equivalent
Experience with signal processing and/or data analysis with MATLAB and/or Python.
Knowledge of machine learning techniques and statistics
Fluency in English, both spoken and written.
EU work permit.
Desired Characteristics
Experience in modeling physiological signals
You work well with others and are known as a team player
Good communication skills
GE HealthCare is an Equal Opportunity Employer where inclusion matters. 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.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.
#LI-Onsite
#LI-AGN
Relocation Assistance Provided: No
Website: https://www.gehealthcare.com/
Headquarter Location: Chicago, Illinois, United States
Employee Count: 10001+
Year Founded: 1994
IPO Status: Public
Last Funding Type: Post-IPO Secondary
Industries: Apps ⋅ Health Care ⋅ Health Diagnostics ⋅ Home Improvement ⋅ Home Renovation ⋅ Internet ⋅ Medical