Senior Data Scientist: Digital Health & Sensor Analytics

InnoCellence; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

InnoCellence is seeking a Data Scientist to derive insights from digital device sensor data in clinical studies and to develop algorithms for real-time processing and decision support.

The role emphasizes collaboration with customers, building models, and delivering visualizations and reports that translate data into business outcomes. A PhD and 5+ years in data science are preferred.

Qualifications

• PhD in CS/Statistics/Math or related field; 5+ years in data science focusing on sensor data or digital health.
• Strong background in time-series, signal processing, and feature extraction.
• Proficient in Python or R for data analysis and ML; experience with TensorFlow/PyTorch.

Responsibilities

• Collaborate with customers to frame questions, test hypotheses with clinical study data.
• Develop and implement ML algorithms for processing sensor data and derive novel digital measures.
• Design and implement LLM/RAG pipelines and related AI tooling.
• Preprocess large sensor datasets, address noise, missing data, and time-series alignment.
• Validate results for accuracy, performance, and real-time scalability; report findings clearly.

Skills

Time-series analysis

Sensor data analysis

Python/R programming

TensorFlow/PyTorch

Communication skills

Education

Ph.D. in Computer Science or Statistics or related field

5+ years of data science experience

Tools

Hadoop

Spark

Cloud platforms (AWS/Azure)

LLMs / RAG pipelines

Job description

InnoCellence is seeking a Data Scientist to derive insights from digital device sensor data in clinical studies and to develop algorithms for real-time processing and decision support.

The role emphasizes collaboration with customers, building models, and delivering visualizations and reports that translate data into business outcomes. A PhD and 5+ years in data science are preferred.