General Application - Research & Science

Qualifications

• Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or related field
• Strong publication record or equivalent applied research experience
• Deep expertise in machine learning, statistical modeling, or computational methods
• Experience with complex, heterogeneous, or graph-structured data
• Ability to communicate research findings to diverse audiences
• Comfortable in a fast-paced startup environment with a long research horizon

Responsibilities

• Develop and validate methods for modeling interconnected systems
• Work at the intersection of graph theory, machine learning, and domain-specific knowledge
• Collaborate with Data Science and Engineering teams to implement research findings
• Publish and present findings to advance the field and organization
• Partner with clinical and domain experts to ensure real-world impact
• Contribute to a culture emphasizing intellectual rigor and continuous learning

Benefits

• Opportunity to impact healthcare through technology
• Collaborative work environment focused on innovative research
• Support for continuous learning and professional development
• Engagement with a mission-driven organization
• Access to a diverse array of expertise from team members