Data Scientist

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