AI/ML Scientist

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.

Translates clinical questions into high performance AI/ML solutions.
Manages and executes end-to-end development and validation of AI/ML solutions.

Position Summary

We are seeking a highly motivated and skilled Deep Learning Scientist with a strong background in computer vision and medical image analysis to lead the development of advanced algorithms for deformable image registration. The ideal candidate will have experience designing, training, and optimizing deep neural networks for image alignment tasks involving multi-modal, inter-patient, and intra-patient variations.

Key Responsibilities

• Research and develop deep learning-based solutions for deformable image registration in 2D and 3D medical imaging.
• Design and implement novel network architectures that address challenges such as:
  • Multi-modal image similarity.
  • Non-linear and complex anatomical deformations.
  • Memory-efficient inference and large-scale deployment.
• Evaluate and benchmark registration performance on clinical datasets, including CT, CBCT, MRI, and ultrasound.
• Collaborate with cross-functional teams, including clinical scientists, software engineers, and product managers, to integrate algorithms into production environments.
• Contribute to publications, patents, and conference presentations.
• Maintain awareness of current literature and technological advancements in deep learning and image registration.

Qualifications

Required:

• Ph.D. or M.Sc. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field with a focus on machine learning, computer vision, or medical imaging.
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Demonstrated experience with deformable image registration, either through academic research or industry projects.
• Deep understanding of CNNs, U-Nets, transformers, and other architectures relevant to image registration.
• Familiarity with medical image formats (DICOM, NIfTI) and libraries such as ITK, SimpleITK, or MONAI.

Preferred:

• Experience working with clinical data in radiology or radiation oncology.
• Familiarity with uncertainty quantification, biomechanical constraints, or topology-preserving transformations.
• Experience with C++ for deployment of inference engines in production systems.
• Track record of publications in top-tier journals and conferences (e.g., MICCAI, IPMI, IEEE TMI, Medical Image Analysis).

What We Offer

• A collaborative and mission-driven work environment.
• Access to diverse and meaningful medical imaging datasets.
• Opportunities to publish and attend top conferences.
• Competitive compensation and benefits package.

Who we are: We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

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