Healthcare AI Scientist: RL, Optimization & Digital Twin

563d Siemens Medical Solutions USA, Inc.; United States; On-site; USD 154,000 - 212,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Disability insurance

Paid time off

Paid parking/public transportation

Paid sick time

Job summary

Siemens Healthineers is seeking an AI Scientist – Reinforcement Learning & Operational Twinning to design and implement RL, simulation, and optimization algorithms for healthcare operations. You will collaborate with cross-functional teams to translate research into scalable, production-ready solutions influencing patient flow, staffing, and resource utilization.

The role requires a Ph.D. in a related field with hands-on experience in RL or simulation-based optimization and strong Python/ML

Qualifications

• Ph.D. in a related technical field.
• Hands-on experience in reinforcement learning, sequential decision-making systems, or simulation-based optimization.
• Experience translating complex problems into scalable AI solutions.
• Strong programming skills in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.

Responsibilities

• Design reinforcement learning, simulation, and optimization algorithms for Operational Twinning applications in healthcare.
• Build intelligent decision-making systems for scheduling, patient flow, triage, staffing, and resource utilization.
• Develop AI-driven simulation environments and workflow models representing real-world clinical and operational systems.
• Publish scientific research, contribute to patents, and drive innovation in operational AI.
• Collaborate with multidisciplinary R&D teams to integrate advanced optimization and simulation technologies.
• Translate large-scale healthcare datasets into actionable optimization and policy-learning solutions.
• Prototype, evaluate, and validate novel algorithmic approaches for feasibility, scalability, explainability, and impact.
• Stay current with advancements in reinforcement learning, world models, AI simulation, and AI-OR methods.

Skills

Reinforcement learning

Sequential decision-making

Simulation-based optimization

Education

Ph.D. in a related technical field

Tools

Python

PyTorch

TensorFlow

JAX

Job description

Siemens Healthineers is seeking an AI Scientist – Reinforcement Learning & Operational Twinning to design and implement RL, simulation, and optimization algorithms for healthcare operations. You will collaborate with cross-functional teams to translate research into scalable, production-ready solutions influencing patient flow, staffing, and resource utilization.

The role requires a Ph.D. in a related field with hands-on experience in RL or simulation-based optimization and strong Python/ML