Research and development of algorithms to detect abnormal subtle changes in physiology using biosensor data in real-time.
Research and develop algorithms to process raw sensor data, such as accelerometer, gyroscope, PPG and ECG.
Research and development of algorithms to derive clinical derivative parameters from continuous biosensor data including building disease specific models for patient's health deterioration.
Design and architect the entire workflow of the algorithms that includes data inputs, outputs and database storage.
Optimize data analysis processes and systems for better efficiency and maintenance.
Work with APP developer and backend engineers to deliver the product.
Documentation which clearly explains how algorithms have been implemented, verified and validated.
Masters or PhD in Bioinformatics, Statistics, Engineering or related fields with strong statistical modelling and machine learning skills.
Hands on experience with development of end-to-end data analytics solutions including data exploration/crawling, model building and performance evaluation.
Proficient with programming in Python.
Strong Programming in C/C++ is a plus.
Knowledge in big data technologies including cloud computing/distributed computing and data visualization.
Background in or exposure to healthcare data, sensor data, human physiology is a plus.
Good publication records on novel algorithm development.
Strong problem-solving skills.
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