V

Varian

Tech-enabled radiation oncology hardware and software

AI/ML Scientist - Reinforcement Learning, Simulation & Optimization

AI ResearchConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A Ph.D. in Computer Science, Applied Mathematics, Operations Research, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field is required.
  • Strong hands-on experience in reinforcement learning, sequential decision-making systems, or simulation-based optimization is required.
  • Experience developing optimization algorithms, operational AI systems, or digital twin or simulation environments is required.
  • Strong programming skills in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or JAX are required.
  • Experience translating complex real-world operational problems into scalable AI-driven solutions is required.
  • Strong technical communication skills and demonstrated research contributions through publications, patents, or applied research projects are required.

Responsibilities

  • Design and develop reinforcement learning, simulation, and optimization algorithms for Operational Twinning applications in healthcare.
  • Build intelligent decision-making systems that optimize scheduling, patient flow, triage, staffing, and resource utilization across complex healthcare environments.
  • Develop AI-driven simulation environments and workflow models capable of representing real-world clinical and operational systems.
  • Conduct original research in reinforcement learning, sequential decision-making, combinatorial optimization, neural optimization, and hybrid AI–operations research methods.
  • Translate large-scale operational and healthcare datasets into actionable optimization and policy-learning solutions.
  • Rapidly prototype, evaluate, and validate novel algorithmic approaches for feasibility, scalability, explainability, and operational impact.
  • Collaborate with multidisciplinary research and development teams to integrate advanced optimization and simulation technologies into Siemens Healthineers’ digital health platforms.
  • Publish scientific research, contribute to patents, and drive innovation in operational AI and healthcare optimization technologies.
  • Stay current with advancements in reinforcement learning, world models, AI simulation, operations research, and autonomous decision systems.

Desired Qualifications

  • Experience with digital twins, workflow simulation, world models, or autonomous systems.
  • A background in operations research, combinatorial optimization, stochastic systems, or control theory.
  • Familiarity with healthcare operations, hospital systems, or clinical workflow optimization.
  • Experience deploying AI solutions into production or cloud-based environments such as AWS, Azure, or GCP.
  • Industry or applied research experience developing operational AI systems at scale.

About the Company

Varian

Tech-enabled radiation oncology hardware and software

Varian, part of Siemens Healthineers, focuses on oncology by providing integrated radiation oncology solutions that combine software, hardware, patient data, and care teams. Its offerings include treatment-planning software, radiation therapy machines, and data-management systems that work together to enable precise cancer treatments. The company differentiates itself through an integrated platform approach and services like Oncology-as-a-Service (OaaS), which lets healthcare providers adopt advanced radiation oncology with ongoing service support rather than large upfront investments. Varian serves healthcare providers such as hospitals and cancer centers, helping them deliver coordinated care and improve patient outcomes. Its goal is to reduce the fear of cancer by using data and technology to support clinicians in delivering effective treatments.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Palo Alto, CA
Founded
1948

Recently Posted Jobs

Explore more opportunities at Varian

See more jobs