- United States
- Full-time · Lead
- 6+ years
Lead the team that builds the physiologic algorithms at the core of the Etiometry Platform, owning the science, evidence, and delivery of these FDA-cleared decision support algorithms.
Responsibilities
- Lead and grow the algorithm team: set technical direction, prioritize the roadmap, mentor scientists and engineers, and own delivery of algorithms from research through FDA-cleared product.
- Design, implement, and validate algorithms that estimate patient physiologic state, predict patient trajectories, and forecast responses to interventions.
- Extend Etiometry's ODE-based physiologic models and their estimation layer (Kalman filtering, Bayesian inference, particle filters) with new physiologic mechanisms and improved parameter identification.
- Integrate data-driven and hybrid mechanistic/ML approaches with the physiology-based models where they add measurable value.
- Lead evidence generation for the algorithms: retrospective validation studies on real-world ICU data, performance characterization, and analyses supporting regulatory submissions and clinical publications.
Requirements
- PhD in Systems & Control
- PhD in Biomedical Engineering
- PhD in Applied Mathematics
- Nice to have: Clinical monitoring data (ICU waveforms, vital signs, laboratory data, EHR integration)
- Nice to have: Agentic systems with large language models