AI/ML Scientist – Operational Twinning & Healthcare Optimization

Siemens Healthineers

Remote Actively hiring
Pct, US · Remote Posted 38 days ago $154,450–$212,366 / year
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At a glance

AI generated

TL;DR

Join Siemens Healthineers’ Digital Technology & Innovation (DTI) organization as an AI/ML Scientist where you will operationalize the Operational Twinning research program by developing high-performance AI solutions that optimize patient flow and resource utilization in healthcare systems. Your day-to-day responsibilities include translating complex clinical questions into robust, scalable AI models using reinforcement learning and combinatorial optimization techniques, analyzing large-scale datasets to uncover actionable insights, and collaborating with cross-functional teams to integrate these algorithms into Siemens Healthineers’ digital health platforms. Required qualifications include a Ph.D. in Computer Science or related fields, expertise in Python, TensorFlow, PyTorch, and scikit-learn, and experience with cloud-based deployments. Preferred candidates have additional knowledge in hybrid AI–operations research models and healthcare systems optimization.

Skills

Python TensorFlow PyTorch scikit-learn AWS Azure GCP Reinforcement_learning Combinatorial_optimization Hybrid_AI_OR_methods Digital_twin_technology Cloud_deployment CI/CD Large_scale_data_analysis Healthcare_datasets

What you'll do

  • Translates complex clinical and operational questions into high-performance AI/ML solutions.
  • Leads end-to-end development and validation of AI/ML models for Operational Twinning.
  • Designs novel algorithms in reinforcement learning and hybrid AI–operations research methods.
  • Analyzes large-scale healthcare datasets to optimize patient flow and resource utilization.
  • Identifies and addresses key operational pain points through intelligent, adaptive systems.

What we're looking for

  • Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field with AI/ML focus.
  • Proven experience in machine learning model development and reinforcement learning.
  • Strong background in Python and relevant ML frameworks (TensorFlow, PyTorch).
  • Ability to translate complex problems into scalable AI/ML solutions.
  • Experience working with large-scale healthcare datasets.
  • Expertise in hybrid AI–operations research models preferred.
  • Publication record demonstrating technical depth and thought leadership.

Market check

Salary context

This $154,450–$212,366 range sits above 30% of similar postings on FindRole.

Peer median band

$167,000–$252,100

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$167,500–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Siemens Healthineers

Siemens Healthineers is a leading global medical technology company, headquartered in Germany, that provides imaging, diagnostics, and artificial intelligence-driven solutions to healthcare providers.

Siemens Healthineers currently has 26 open roles on FindRole.

Listed pay typically runs $131,910–$181,379 across 23 roles with salary data.

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