Data Scientist, Digital Health & Sensor Analytics

INNOCELLENCE CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

INNOCELLENCE CONSULTING PTE. LTD. is seeking a talented Data Scientist to analyze digital health sensor data from clinical studies, develop models and deploy algorithms, and collaborate with customers to derive actionable insights.

The role focuses on time-series data, ML algorithms for sensor data, preprocessing, real-time processing, and communicating findings through visualizations while working with cross-functional teams to solve business problems.

Qualifications

• PhD in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of data science experience with sensor data or digital health.
• Strong time-series analysis, signal processing, and feature extraction.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/PyTorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Responsibilities

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Skills

Time-series analysis

Signal processing

Data visualization

Education

PhD in Computer Science, Statistics, Mathematics, or related field

Tools

Python

R

TensorFlow

PyTorch

Hadoop

Spark

AWS

Azure

Job description

INNOCELLENCE CONSULTING PTE. LTD. is seeking a talented Data Scientist to analyze digital health sensor data from clinical studies, develop models and deploy algorithms, and collaborate with customers to derive actionable insights.

The role focuses on time-series data, ML algorithms for sensor data, preprocessing, real-time processing, and communicating findings through visualizations while working with cross-functional teams to solve business problems.