Senior AI/ML Scientist – Neuroclinical
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. Join Siemens Healthineers’ Digital Technology & Innovation (DTI) team in Princeton, NJ, a central hub for advancing Artificial Intelligence and Digital Technologies in healthcare. As a Senior AI/ML Scientist within our Neuroclinical AI team, you will lead the development of advanced machine learning models that support clinical decision-making in neuroimaging applications. You will drive end-to-end AI/ML initiatives—from problem definition and data strategy through model development, validation, and clinical integration, while collaborating closely with clinical experts, engineers, and global teams. This role is ideal for someone who combines deep technical expertise with strong problem-solving ability and a passion for translating complex clinical challenges into impactful AI solutions.
Requirements
- PhD (preferred) or MS with strong experience in Computer Science, AI, Biomedical Engineering, or related field
- 5–10+ years of experience in AI/ML, including deep learning
- Strong experience with Python and frameworks such as PyTorch or TensorFlow
- Proven track record of delivering AI/ML models in real-world applications
- Experience working with complex datasets (ideally medical imaging or healthcare)
- Strong ability to lead problem-solving efforts and communicate complex ideas clearly
- Experience contributing to publications, patents, or research collaborations
Responsibilities
- Leading the translation of clinical workflows into AI/ML problem definitions, data strategies, and model requirements
- Designing and implementing advanced deep learning architectures and algorithms
- Driving validation strategies, including statistical evaluation and clinical relevance of models
- Leading cross-functional efforts across data collection, annotation, model development, and validation
- Managing and prioritizing multiple AI/ML initiatives
- Contributing to intellectual property, publications, and external collaborations
- Proposing and driving new AI/ML-based initiatives aligned with product and research strategy
- Mentoring junior team members and influencing technical direction
- Staying at the forefront of AI/ML research and applying state-of-the-art techniques
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
