Job Description SummaryWant to revolutionize the Healthcare domain? We are looking for a highly motivated individual, passionate about deep learning and AI to join the GE Healthcare AI team in San Ramon. As the Summer Intern, you will focus on developing impactful and innovative deep learning-based products for the Healthcare industry partnering with AI Scientists and AI Engineers.
Job Description
You will be joining our team of researchers at GE Healthcare’s STO AI Org in San Ramon as part of the Digital Technologies group where you can take advantage of cutting-edge technologies to explore new approaches for solving challenging problems in medical imaging. Our mission is to improve healthcare by developing innovative solutions in radiology and information technology. As part of this role, you will apply your expertise in Artificial Intelligence / Machine Learning (AI/ML) techniques to create intelligent systems that aid radiologists in diagnosis and treatment planning. You will have the opportunity to learn about the clinical needs and operational constraints faced by radiologists and how these impact the design of effective AI/ML applications.
Responsibilities:
• Design, implement, train and test AI models using appropriate algorithms and tools
• Conduct experiments and analyze results to determine the effectiveness of different approaches
• Collaborate with experts in related fields such as computer vision, software development and clinical workflow analysis
• Work with heterogenous medical data sets including sample size selection, preprocessing and design of experiments
• Design and implement neural networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports
• Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code.
• Document your work and present your findings to both technical and non-technical audiences
Qualifications:
• Enrolled in a PhD program in Computer Science or equivalent degree with a specialization in Artificial Intelligence / Machine Learning
• Experience applying AI/ML techniques to solve real world problems
• Excellent programming skills in Python and familiarity with relevant libraries such as NumPy, pandas, scikit-learn etc.
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with medical imaging modalities such as CT, MRI, X-ray etc. and associated image processing techniques
• Experience building ML / AI systems
• Ability to work independently and collaboratively within a team environment
• Competence to analyze and interpret experimental results
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: Yes
Application Deadline: April 10, 2025
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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.
