AI​/ML Scientist – Operational Twinning & Healthcare Optimization

AI/ML Scientist – Operational Twinning & Healthcare Optimization

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) organization as an AI/ML Scientist – Operational Twinning & Healthcare Optimization, where you will transform complex clinical and operational challenges into intelligent, high-performance AI solutions that advance healthcare delivery.

In this role, you will expand and operationalize the Operational Twinning research program, extending its reach into new clinical and operational domains. Your work will directly influence how hospitals and healthcare systems optimize patient flow, resource utilization, and system efficiency. Operating at the intersection of artificial intelligence, operations research, and digital twin technology, you will develop algorithms that bridge real-world healthcare operations with virtual, intelligent simulation environments.

This is a unique opportunity to contribute to pioneering research, shape next-generation AI systems, and translate scientific breakthroughs into scalable, real-world solutions that enhance accessibility and patient outcomes worldwide.

• Translating complex clinical and operational questions into high-performance AI/ML solutions that improve healthcare efficiency and patient care.
• Leading the end-to-end development, validation, and deployment of AI/ML models for Operational Twinning, ensuring robustness, scalability, and clinical relevance.
• Conducting original research and designing novel algorithms in AI, with emphasis on reinforcement learning, combinatorial optimization, and hybrid AI–operations research (AI-OR) methods.
• Analyzing and modeling large-scale healthcare datasets to uncover actionable insights and develop data-driven solutions that optimize patient flow and resource utilization.
• Identifying and addressing key operational pain points—such as scheduling, triage, and capacity management—through the creation of intelligent, adaptive systems.
• Rapidly prototyping and evaluating algorithmic approaches to ensure feasibility, explainability, and alignment with clinical and customer needs.
• Collaborating with cross-functional R&D teams to integrate novel algorithms into Siemens Healthineers’ digital health and imaging platforms.
• Publishing research in top-tier conferences and journals, and driving innovation through patents, new methodologies, and internal technology dissemination.
• Staying current with advancements in reinforcement learning, optimization theory, neural combinatorial optimization, and hybrid AI-OR approaches to continuously enhance Siemens’ leadership in AI-driven healthcare innovation.

• Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field with a strong focus on AI/ML or optimization.
• Proven experience in machine learning model development, reinforcement learning, and operations optimization.
• Demonstrated ability to translate complex, real-world problems into scalable AI/ML solutions.
• Strong background in Python and relevant frameworks (e.g., Tensor Flow, PyTorch, scikit-learn).
• Experience working with large-scale healthcare or operational datasets preferred.
• Excellent communication, teamwork, and publication record demonstrating technical depth and thought leadership.

• Expertise in hybrid AI–operations research models, digital twin simulation, or AI-driven workflow optimization.
• Familiarity with healthcare systems, hospital operations, or clinical workflow modeling.
• Track record of scientific publications or patents in relevant AI/ML fields.
• Experience with cloud-based deployment of AI models (AWS, Azure, or GCP).

Min $154,450 – Max $231,670

Factors which may affect starting pay within this range may include…