General Application — Research & Science

System•New York, NY

About The Position

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. At System, research is the origin of our most important ideas — and researchers work at the frontier of graph theory, clinical AI, causal inference, and knowledge representation to push the boundaries of what our platform can do.

Requirements

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
Experience working with complex, heterogeneous, or graph-structured data
Ability to communicate research findings clearly to both technical and non-technical audiences
Comfort operating in a fast-paced startup environment alongside a long research horizon

Nice To Haves

Experience with clinical NLP, EHR data, or healthcare ontologies (SNOMED, ICD, OMOP)
Familiarity with knowledge graphs, semantic web technologies, or ontology engineering
Background in causal inference, systems dynamics, or complex adaptive systems
Experience collaborating with clinicians, policymakers, or public health researchers

Responsibilities

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