Data Scientists
2 weeks ago
**The Role**:
- Research and development of algorithms to detect abnormal subtle changes in physiology using biosensor data in real-time.
- 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.
- Conduct epidemiological research to analyze the patterns, causes and effects of health and disease in the cohort of collected patient data.
- Documentation which clearly explains how algorithms have been implemented, verified and validated.
**Experience/Training**:
- Hands on experience with development of end-to-end data analytics solutions including data exploration/crawling, personalized machine learning model building and performance evaluation.
- Knowledge in big data technologies including cloud computing/distributed computing and data visualization.
- Background in or exposure to healthcare data, human physiology or cardiology is preferred.
**Education**:
- Masters or PhD in Bioinformatics, Statistics, Engineering or related fields with strong statistical modelling and machine learning skills (Bachelors with related working experience may be considered).
**Skills**:
- Proficient with time-series data analysis, anomaly detection, unsupervised 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.
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