Data Scientist - Machine Learning

Location Singapore
Job reference BBBH107094_1636694223
Salary Negotiable
Consultant name Goel Navneet
Consultant email navneet.goel@experis.com.sg
Consultant contact no. 65515581
EA License No. 02C3423
Consultant Registration No. R1982194


Research & Development | Singapore

Job Summary:
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.
Responsibilities:

  • 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.

Authorities:

  • Draft and apply paper publications.
  • Review task-related research database.
  • Edit or review task-related research documents.
  • Edit or review task-related develop documents.

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 nice to have.

Education:

  • Masters or PhD in Bioinformatics, Statistics, Engineering or related fields with statistical modelling and machine learning skills

Skills:

  • Proficient with time-series data analysis, anomaly detection, unsupervised learning, hypothesis testing.
  • Proficient with programming in Python. Programming in R or C/C++ is a plus.
  • Good research ability and critical thinking skills.
  • Excellent written and verbal communication skills

Goel Navneet License No.: 02C3423 Personnel Registration No.: R1982194

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