Position Summary

We are currently seeking a Senior Algorithms Engineer to join our Risk Analytics team. You will be part of a first-of-its-kind endeavor that utilizes systems and control engineering principles to model human physiology to continuously track patient-specific risks. The right candidate will have a large impact on our platform and a direct connection to our potentially life-saving product. Candidates are required to have excellent communication skills, a track record of independent and creative thinking, and a desire for lifelong learning.

Responsibilities

  • Participate in all activities related to the development of Etiometry’s predictive analytics for patients under intensive care from conception, through development and testing, to deployment and post-market surveillance
  • Advance Etiometry’s ever-evolving nonlinear dynamic model of human physiology by:
    • Researching and implementing new physiologic effects
    • Utilizing machine learning and/or nonlinear model identification techniques to discover and/or refine physiologic relationships
  • Integrate physiologic models with real-time estimation algorithms, e.g. Kalman Filters, Particle Filters, or other advanced recursive estimation techniques
  • Analyze the behavior and performance of algorithms given a large database of physiologic time series data
  • Mentor and lead junior engineers

Basic Qualifications

  • Ph.D. in Systems, Mechanical, Electrical, Applied Mathematics, Biomedical Engineering, or similar field or 5+ years of related experience
  • Advanced understanding of Dynamic Systems Theory and Control Theory
  • Strong understanding of Stochastic Modeling and Estimation Theory
  • Hands-on experience developing dynamic models of nonlinear physical systems
  • Proven ability to contribute to emerging or cross-disciplinary fields
  • MATLAB or Python programming experience
  • Ability to work independently and also with others to accomplish specific research objectives

Desired qualifications

  • Experience modeling biological systems
  • Experience with pharmacokinetics/pharmacodynamic modeling
  • Experience developing and testing real-time estimation algorithms, e.g. Kalman Filters, Particle Filters, etc.
  • Experience with advanced machine learning techniques, e.g. Neural Networks
  • Knowledge of basic Anatomy and Physiology
  • Experience with Agile software development methods
  • Experience with Test-driven software development methods

Contact Us

If you are interested in this opportunity, please email careers@etiometry.com with your resume.