Head of Algorithm Development - PM&E

Head of Algorithm Development – Physiologic Modeling & Estimation Etiometry is seeking a Head of Algorithm Development to lead the team that builds the physiologic algorithms at the core of the Etiometry Platform. This is a hands-on leadership role for a scientist/engineer with a PhD in Systems & Control, Biomedical Engineering, Applied Mathematics, or a related quantitative field, 6+ years of experience in applied modeling and estimation, and a strong working knowledge of cardiovascular and respiratory physiology. Our algorithms are built on first-principles models of human physiology, combined with state estimation and data-driven methods, and are deployed as FDA-cleared decision support in more than 165 ICUs. The next generation of this work will go beyond risk monitoring to forecasting how treatments affect patient physiology. You will own the science behind these algorithms, the evidence that supports them, and the team that delivers them.

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 (e.g., fluids, vasoactives, ventilator changes).
• 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 (waveforms, vital signs, laboratory values, EHR data), performance characterization, and the analyses that support regulatory submissions and clinical publications.
• Translate physiologic and clinical requirements, developed with our clinical and product teams, into quantitative risk indices and treatment-response predictions for FDA-regulated software.
• Build and maintain the team's modeling and validation tooling, including simulation and evaluation harnesses, and evaluate where AI-assisted or agentic workflows can make model development faster without lowering its rigor.
• Partner with engineering, clinical, and regulatory affairs to move models from research into the real-time platform deployed in the ICU.

Basic Qualifications

• PhD in Systems & Control, Biomedical Engineering, Applied Mathematics, Electrical/Mechanical Engineering, or a related quantitative field.
• 6+ years of experience (industry or postdoctoral) in applied modeling, estimation, or control systems.
• Strong background in dynamical systems and ODE/PDE modeling, and in state estimation (Kalman filters, stochastic processes, Bayesian methods).
• Working knowledge of human physiology, in particular cardiovascular and respiratory physiology, and experience building or extending mechanistic physiologic models.
• Working knowledge of machine learning (neural networks, probabilistic ML, data-driven system identification).
• Proficiency in scientific computing in Python (NumPy, SciPy, PyTorch or similar) and in writing production-quality, testable code.
• Strong communication and organization skills, and a proven ability to work in cross-disciplinary teams and translate theory into applied solutions.

Desired Qualifications

• Experience with clinical monitoring data (ICU waveforms, vital signs, laboratory data, EHR integration).
• Experience building agentic systems with large language models (tool use, multi-step orchestration, evaluation harnesses), or using automated search and agents for model discovery or simulation-driven experimentation.
• Experience with hybrid mechanistic/ML modeling (e.g., physics-informed or universal differential equations).
• Track record of peer-reviewed publications or patents in physiologic modeling, estimation, or clinical decision support.

About Etiometry Etiometry is the market leader in predictive analytics for the Intensive Care Unit. Our system leverages real-time patient data to provide clinicians with actionable information that improves care for the most vulnerable patients. In use at some of the best medical institutions across three continents, the Etiometry Platform has a proven track record in improving outcomes while reducing hospital costs. Our next generation of algorithms will go beyond monitoring risk to forecasting how treatments will affect patient physiology, giving clinicians foresight to guide critical interventions. By joining Etiometry, you will be at the forefront of clinical innovation, working with a passionate team of engineers and scientists with the mission of transforming the delivery of critical care. You will become an integral part of a dynamic team whose work will directly impact patients worldwide and shape the future of ICU analytics.