We’re rebuilding the system for cardiology, creating a world where outcomes, not volume, define success. We partner with independent cardiologists to help them lead population health efforts in their communities, equipping them with technology, data, and operational tools that turn complex insights into better care for every patient.
Requirements
- 10+ years in bioinformatics, data science, or advanced analytics in a healthcare field
- 5+ years working in value-based care environments (e.g., ACOs, risk-bearing provider groups, health plans, or specialty VBC organizations)
- Strong applied data science and statistics skills including predictive modeling, risk scoring, recommendation techniques, and observational study design
- Proficiency in Python or R and SQL; experience evaluating and monitoring models (AUC, calibration, lift, stability/drift)
- Hands-on experience with large healthcare datasets and converting them into production features and models
- Experience designing clinical data models, cohorts/registries, and clinical decision support or rules engines
- Proven ability to translate clinical and operational requirements into production-ready data and workflow logic with engineering teams
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
