Job Description SummaryAt GE HealthCare, we are committed to advancing AI and cloud-based solutions to transform healthcare delivery. From cutting-edge analytics and multimodal learning to advanced visualization and intelligent systems, we leverage technology to make healthcare more precise, personalized, and accessible. Our Science & Technology organization drives clinical research, patient-centric innovation, and digital transformation to improve outcomes for patients and providers worldwide. Learn more: GE Science & Technology Careers.
We are seeking an AI Visiting Researcher – Imaging Foundation Models to collaborate with us during the summer on groundbreaking research in imaging foundation models. In this role, you will work closely with AI team leaders and mentor our talented AI scientists to develop novel foundation models, positioning GE HealthCare at the forefront of medical imaging AI capabilities.
The ideal candidate will have a proven research track record, a deep technical background, and expertise in imaging foundation models. You should be well-versed in cutting-edge AI research and have the technical acumen to mentor AI scientists, engineers, and software developers effectively.
Job Description
Responsibilities
- Worked with AI scientists in designing and developing foundation models using large-scale medical imaging datasets, and other side information.
- Lead end-to-end project lifecycles for imaging foundation models, including model design, experimentation, evaluation, prototyping, and production.
- Research and evaluate emerging technologies, industry trends, and academic advancements to drive innovation in imaging foundation models.
- Collaborate with cross-functional teams to translate research into impactful solutions for healthcare.
Qualifications
The ideal candidate will have:
- A Ph.D. in Computer Science or a related field and currently hold a tenure-track faculty position in a leading Computer Science program.
- A strong publication record in areas such as Computer Vision, Machine Learning, Deep Learning, Natural Language Processing, or Optimization, with papers published in top conferences such as NeurIPS, ICML, ICLR, CVPR, AAAI, KDD, EMNLP, or ACL.
- Proficiency in at least one general-purpose programming language (e.g., Python, Java, C/C++) and experience with deep learning frameworks like PyTorch or TensorFlow.
- Experience with building and deploying data analytics or AI applications in production environments.
- (Preferred) Extensive experience working with noisy, real-world medical and patient data.
- (Preferred) Expertise in large-scale AI training and handling computational challenges.
Additional Information
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 Provided: No
Application Deadline: May 02, 2025
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence.
As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.
With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world.
We embrace a culture of respect, transparency, integrity and diversity.
