CT HR CONSULTANTS PTE. LTD.

Data Scientists (Machine Learning)

Job description

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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