Data Scientist

1 week ago


Singapur, Singapore NodeFlair Full time

We are working with a tech company, and as part of their continued growth, NodeFlair has been engaged to search for Data Scientist to join their Singapore team.

Data Scientist Digital Health & Sensor Data Analytics

We are looking for a Data Scientist with expertise in sensor data analytics to drive insights from clinical study data and develop algorithms for digital health applications.

Key Responsibilities:

  • Collaborate with customers to analyze clinical study data, develop hypotheses, and test them.
  • Build machine learning models for sensor data (e.g., accelerometers, heart rate monitors) and create novel clinical digital measures.
  • Perform time-series analysis, signal processing, and preprocessing tasks like noise reduction and synchronization.
  • Validate model accuracy and scalability for real-time sensor data streams.
  • Present findings through reports, visualizations, and stakeholder communication.
  • Partner with cross-functional teams to implement data-driven solutions.

Requirements:

  • Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data science, particularly sensor data or digital health.
  • Proficient in time-series analysis, signal processing, and tools like Python, R, TensorFlow, or PyTorch.
  • Hands-on experience with big data platforms (e.g., Hadoop, Spark) and cloud environments.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:

  • Familiarity with AWS, Azure, or similar cloud platforms and data pipelines.
  • Experience in healthcare or clinical trials, including regulatory workflows.
  • Proven ability to scale algorithms for production environments.

This role offers a chance to innovate at the intersection of data science and healthcare.

Interested applicants, please contact Ayla at ayla@nodeflair.com for a confidential discussion.

EA License No: 19S9830


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