Biofourmis is looking for smart and capable Data Scientist on our Data Science team to join our ranks. The ideal candidate should have the passion to use data from biosensors and advanced machine learning techniques for making sense of biosensor data. We are building an end-to-end service that integrates seamlessly into the lives of those patients via multiple touchpoints on front-end while providing intelligent analytics on the backend.
Design, characterize and test algorithms to analyse physiological data (ECG and PPG)
Collect, analyse and draw insights from real world healthcare data from biosensors
Mine existing biomedical signal and healthcare datasets to guide algorithm design and optimization
Characterize performance of Biofourmis cardiac algorithms on annotated proprietary biosignal data sets as per EC57 guidelines
Perform comprehensive evaluation of new concepts using bench, preclinical, and clinical data collection and analysis
Experience / Training:
Hands on experience with development of signal processing projects, including noise detection, pre-processing, feature engineering, machine learning model building and performance evaluation.
Experience working with ECG, PPG, and other types of biomedical/healthcare data is a bonus
Background in or exposure to healthcare data, human physiology or cardiology is preferred.
Master or PhD in Electronic Engineering, Computer Science, Biomedical Engineering or related program with strong signal processing skills (Bachelors with related working experience may be considered)
Proficient with spectrum analysis, pattern recognition, supervised learning, hypothesis testing.
Proficient with programming in Python. Strong Programming in R or C/C++ is a plus.
Good research ability and critical thinking skills.