Staff AI Scientist

MS0309 GE Healthcare IITS USA Corp.; San Ramon (CA); On-site; USD 148,000 - 222,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) plan with employer contribution

Life insurance

Disability insurance

Tuition reimbursement

Job summary

GE HealthCare is seeking a Staff Data Scientist to advance AI in healthcare, from ideation to deployment within GE HealthCare products. The role emphasizes scalable AI tools, medical imaging, and clinical decision support, with collaboration across clinical, software, PM, and regulatory teams.

You will mentor junior scientists, publish research, and evaluate external AI tech to strengthen internal capabilities while upholding responsible AI practices.

Qualifications

• Master’s Degree in STEM plus 4 years AI development for industrial use OR Ph.D. plus 1 year.
• Demonstrated expertise in developing scalable AI tools.
• Experience with Python and frameworks such as DeepSpeed, HuggingFace, Megatron, PyTorch Lightning.
• Experience with high‑dimensional imaging data and waveform/time‑series data.
• Experience with synthetic data or diffusion models.
• Hands‑on mindset to advance healthcare AI.

Responsibilities

• Lead AI solution development lifecycle from ideation to deployment in GE Healthcare products.
• Research novel AI/ML algorithms for medical imaging, patient monitoring, and clinical support.
• Develop, train, and validate advanced ML models with robustness and clinical relevance.
• Collaborate with clinical experts, software engineers, PMs, and regulatory specialists.
• Mentor junior AI scientists and grow the AI team's capabilities.
• Publish findings in top conferences/journals and present at industry events.
• Evaluate external AI technologies to enhance internal capabilities.
• Ensure ethical, compliant AI development in healthcare.

Skills

AI development

Python

Research & experimentation

Leadership potential

Education

Master’s Degree in STEM major

Ph.D. in STEM major

Tools

DeepSpeed

HuggingFace

Megatron

PyTorch Lightning

Job description

Job Description Summary: The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Job Summary:

Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models, scalable AI tools, and Healthcare AI models to join the GE Healthcare AI group. As the Staff AI Scientist, you will focus on exciting generative vision, text, speech, time-series, and multi-modal problems related to segmentation, object detection, large-scale generative models, large-scale pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.

Job Responsibilities:

• Lead the entire lifecycle of AI solution development, from ideation and research to prototyping, implementation, and deployment within GE Healthcare products.
• Conduct independent research into novel AI and machine learning algorithms, particularly in areas relevant to medical imaging, patient monitoring, and clinical decision support.
• Develop, train, and validate sophisticated machine learning models, ensuring high performance, robustness, and clinical relevance.
• Collaborate closely with cross-functional teams, including clinical experts, software engineers, product managers, and regulatory specialists, to translate research into impactful product features.
• Mentor junior AI scientists and contribute to the growth of the AI team's technical capabilities and best practices.
• Publish research findings in top-tier conferences and journals, and represent GE Healthcare at industry events.
• Evaluate and integrate external AI technologies and frameworks to enhance internal capabilities.
• Ensure the ethical and responsible development and deployment of AI solutions, adhering to healthcare regulations and standards.

Basic Qualifications:

• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 4 years AI development for industrial applications in a commercial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 1 year AI development for industrial applications in a commercial setting.
• Demonstrated expertise in developing scalable AI tools.
• Implementation experience with a variety of high-level languages (e.g. Python) and frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with high-dimensional imaging data and waveform/time-series data.
• Experience with synthetic data or diffusion models
• A desire to be hands‑on and help invent the future of next‑gen AI in Healthcare!

Preferred Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Biomedical Engineering, or a related quantitative field.
• 8+ years of experience in AI/Machine Learning research and development, with a strong publication record in top‑tier conferences (e.g., NeurIPS, ICML, CVPR, MICCAI, AAAI, KDD) and journals.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
• Demonstrated ability to lead complex AI projects from conception to production.
• Proven experience with large-scale data processing and analysis.
• Strong understanding of statistical modeling, algorithm design, and data structures.
• Excellent communication, presentation, and interpersonal skills, with the ability to effectively convey complex technical concepts to diverse audiences.
• Experience in the healthcare domain, particularly with medical imaging (e.g., CT, MRI, X‑ray), physiological signals, or electronic health records, is highly desirable.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus.

For U.S. based positions only, the pay range for this position is $147,840.00-$221,760.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).

Benefits:

• Medical
• Dental
• Vision
• Paid time off
• 401(k) plan with employee and company contribution opportunities
• Life insurance
• Disability insurance
• Accident insurance
• Tuition reimbursement

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.

GE HealthCare is an Equal Opportunity Employer. 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. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance: Yes

At GE HealthCare, we see possibilities through innovation. We’re partnering with our customers to fulfill healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.