Clinical Data Scientist: Sensor Analytics & Time-Series ML

InnoCellence; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

InnoCellence in Singapore seeks a Data Scientist to derive insights from digital device sensor data collected in clinical studies and to develop and implement algorithms in this area. You will collaborate with customers to analyze data and build models that improve understanding of clinical outcomes and solve business problems.

The ideal candidate holds a PhD in CS/Statistics/Math or related field, with strong time-series analysis and signal processing skills, and proficiency in Python or R,

Qualifications

• Ph.D. in CS, statistics, mathematics, or related field.
• Demonstrated data science experience via research, internships, or roles; PhD work counts.
• Strong time-series analysis, signal processing and feature extraction knowledge.
• Proficiency in Python or R, and TensorFlow/PyTorch for ML.
• Excellent problem-solving, communication and teamwork skills.

Responsibilities

• Collaborate with customers to identify questions, form hypotheses, and test them with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data.
• Preprocess large sensor datasets, handling noise, missing data and time-series alignment.
• Validate results and ensure accuracy, performance and scalability in real-time processing.
• Communicate findings through visualizations, reports and presentations.
• Work with cross-functional teams to deliver data-driven solutions.
• Stay up-to-date with advances in data science and clinical research.

Skills

Time-series analysis

Signal processing

Communication

Collaboration

Education

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

Tools

TensorFlow

PyTorch

Python

R

Job description

InnoCellence in Singapore seeks a Data Scientist to derive insights from digital device sensor data collected in clinical studies and to develop and implement algorithms in this area. You will collaborate with customers to analyze data and build models that improve understanding of clinical outcomes and solve business problems.

The ideal candidate holds a PhD in CS/Statistics/Math or related field, with strong time-series analysis and signal processing skills, and proficiency in Python or R,