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.

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

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.

You are responsible for:

• 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.

Required Qualifications

• 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., TensorFlow, 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.

Preferred Qualifications

• 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).

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Who we are: We are a team of more than 72,000 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.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$154,450 - $212,366

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: 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.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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