Sr. AI Fellow

Siemens Healthineers

2d • Remote

About The Position

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. At Siemens Healthineers, we offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting? Then come and join our global team as a Sr. AI Fellow - Foundational Models for Healthcare AI. This is a role well suited for a highly motivated student looking to build their skill set and gain hands-on experience.

Requirements

• Proven experience designing, training, and analyzing advanced machine learning and deep learning models, including large-scale and self‑supervised approaches, using frameworks such as PyTorch and TensorFlow
• Demonstrated ability to lead and collaborate in highly interdisciplinary teams, effectively communicating complex technical concepts to clinicians, engineers, and executive stakeholders
• Deep expertise in foundational and physics‑informed learning approaches, including reconstruction, inverse problems, hybrid/known-operator learning, and multimodal representation learning applied to medical imaging and clinical data
• Proven experience working with large-scale, heterogeneous medical datasets, spanning imaging, signals, and clinical measurements, with a strong understanding of data curation, validation, reproducibility, and scientific rigor
• Demonstrated ability to translate academic innovation into applied healthcare systems, through close collaboration with industry, clinicians, and interdisciplinary stakeholders in fast-paced, outcome‑driven environments
• Deep expertise in advanced AI and machine learning methodologies, particularly in medical imaging, reconstruction, physics‑informed learning, and scalable foundational model development
• Strong collaboration and communication skills, with the ability to thrive in fast‑paced, interdisciplinary environments spanning academia, clinical partners, and industrial R&D teams.
• Currently enrolled in and pursuing studies at a foreign degree- or certificate-granting post-secondary academic institution outside the United States OR Has graduated from such an institution no more than 12 months prior to his or her exchange visitor program start date.

Responsibilities

• Defining and advancing the scientific vision for large-scale foundational models that integrate medical imaging, clinical tests, and multimodal data for generalizable healthcare AI systems
• Leading the design of scalable model architectures and learning paradigms (e.g., self-/weakly-supervised, multimodal, physics-informed) that enable broad reuse across clinical applications
• Driving translational research in close collaboration with clinicians, engineers, and applied scientists to bridge methodological innovation with real-world clinical workflows
• Mentoring and intellectually guiding junior researchers while contributing hands-on to high-impact prototypes, evaluations, and peer-reviewed publications

Benefits

• medical insurance
• dental insurance
• vision insurance
• 401(k) retirement plan
• life insurance
• long-term and short-term disability insurance
• paid parking/public transportation
• paid time off
• paid sick and safe time

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree