Glucose Algorithms Lead
Profusa is developing novel biosensors to continuously monitor tissue analytes in the body to provide unprecedented insights into human health physiology. We are searching for a professional with a strong background in continuous glucose monitoring (CGM) to lead the development and implementation of calibration and correction algorithms for our glucose-sensitive fluorescence-based subcutaneous microimplant.
Essential Duties and Responsibilities
Perform linear and nonlinear system identification of real-time fluorescent signals from subcutaneously implanted glucose sensors, and use signal processing, time-series analysis, mathematical modelling, and statistical analysis to determine appropriate calibration functions to convert fluorescence signal into analyte concentration with high accuracy.
Apply data mining and machine learning techniques to extract relevant information and patterns from stochastic human physiological data and other measurements to develop correlation algorithms and calibration paradigms to improve system accuracy.
Design experiments to isolate and characterize error sources in sensor signals. Create programs to statistically analyze the impact of errors on performance, and quantitatively evaluate the efficacy of correction algorithms on reducing error (Bland-Altman, Clarke/Parkes EG, MARD).
Characterize sensor dynamics and signal artifacts to develop mathematical models to simulate sensor behavior in implanted tissue environments and apply such models to drive optimization of correction algorithms and advanced sensor/hardware designs.
Ph.D. in Computer Science, Engineering, Chemistry, Physics, or related fields with 4+ years of direct, relevant industry experience
Experience collecting and analyzing clinical CGM data
Proficiency in computing languages (Python, R, Matlab, etc.) is required
Sound understanding of statistics, analog and digital signal processing techniques applied to biological data
Experience in pattern recognition, and machine learning with physiological signal processing
Excellent written and verbal communication skills with a history of scientific publications and oral presentations
Systematic thinker who displays a blend of theoretical rigor and empirical approach to achieve practical, deadline driven task completion