Research & Science

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.

As a researcher at System, you will:

• 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

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
• 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

Bonus if you have:

• 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

You might be a fit if you:

• Think in systems — mapping feedback loops, interdependencies, and second-order effects comes naturally to you
• Are motivated by purpose-driven work, particularly at the intersection of technology and healthcare
• Believe technology should be a force for good and are drawn to the Public Benefit Corporation model