Senior Digital Health Analytics Expert
3 weeks ago
We are seeking a highly skilled Senior Digital Health Analytics Expert to join our Singapore team at NodeFlair, a leading tech company. This role offers a unique opportunity 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 using advanced time-series analysis and signal processing techniques.
- Develop and implement machine learning models for sensor data (e.g., accelerometers, heart rate monitors) to create novel clinical digital measures.
- Validate model accuracy and scalability for real-time sensor data streams in production environments.
- Presentation of 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 with 3+ years of experience in data science, particularly sensor data or digital health.
- Proficient in tools like Python, R, TensorFlow, or PyTorch for time-series analysis and machine learning.
- Hands-on experience with big data platforms (e.g., Hadoop, Spark) and cloud environments such as AWS, Azure, or similar platforms.
- Strong problem-solving, analytical, and communication skills.
Estimated Salary: $120,000 - $180,000 per annum based on location and industry standards.
This role requires expertise in digital health analytics, machine learning, and data science to drive innovation at the intersection of healthcare and technology.
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