Research & Science
System, New York, New York, United States, Remote +2
What you will do
- Develop and validate novel methods for modeling complex, interconnected systems
- Work at the intersection of graph theory, machine learning, and domain-specific knowledge
- Collaborate with Data Science and Engineering to transition research findings into production
- Publish and present findings that advance both the field and System's mission
- Partner with clinical and domain experts to ground research in real-world impact
- Contribute to a culture of intellectual rigor, curiosity, and continuous learning
What you need
The ideal candidate has
- Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or a related field
- A strong publication record or equivalent applied research experience
- Deep expertise in machine learning, statistical modeling, or computational methods