1

Trainee Ge Data Scientist Jobs (NOW HIRING)

The AI Scientist will work on developing and deploying modern machine learning methods to analyze ... GE Healthcare is a healthcare company with intelligent devices, data analytics, applications, and ...

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

... data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our ... Our Science & Technology organization is harnessing the power of technology to make healthcare more ...

... data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our ... Our Science & Technology organization is harnessing the power of technology to make healthcare more ...

next page

Showing results 1-20

Trainee Ge Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do trainee ge data scientist jobs pay per year?

As of Jul 2, 2026, the average yearly pay for trainee ge data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Ge Data Scientist jobs? The most popular types of Ge Data Scientist jobs are:
AI Scientist

Full-time

Posted 26 days ago


GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

64th of 421 rated machine equipment manufacturers


Job description

Job Summary:
GE HealthCare is committed to bringing AI and cloud-based solutions for customers in the healthcare sector. The AI Scientist will work on developing and deploying modern machine learning methods to analyze large healthcare data sets and improve clinical tasks automation.
Responsibilities:
• Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.
• Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
• Exploring learning from human feedback and assisting humans evaluating AI.
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Working with large-scale datasets, designing, and developing generative algorithms.
• Staying current on published state-of-the-art algorithms and competing technologies.
Qualifications:
Required:
• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.
• Publications as first author on LLM, Agentic AI or self supervised learning (SSL).
• Demonstrated expertise in building large scale AI such as generative AI models.
• Implementation experience with a variety of high-level languages (e.g. Python, C++)
• Experience with high-dimensional imaging data and waveform/time-series data.
Preferred:
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
• Experience working with large scale AI training.
• An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
• Track record in developing machine learning solutions using massive real-world data for solving real world business problems.
• In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
• Experience creating production environment data analytics and applications
Company:
GE Healthcare is a healthcare company with intelligent devices, data analytics, applications, and services-supported intelligence platforms. Founded in 1892, the company is headquartered in Helsinki, FIN, with a team of 10001+ employees. The company is currently Late Stage.

What GE HealthCare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom