Data Engineer - Digital Health R&D
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Summary
Data engineer on a digital health R&D team in Singapore who designs, builds and maintains data pipelines for clinical study and wearable sensor data. Day to day involves Python and SQL pipeline development, cloud data ingestion and quality monitoring, plus applying ML, deep learning and LLM technologies to support health research.
- Monday - Friday
- Healthcare Sector
- Completion Bonus
Responsibilities
- Design, build and maintain data pipelines for digital health and clinical study data.
- Manage data ingestion, transformation, storage, quality checks and delivery of analysis-ready datasets.
- Develop and maintain pipeline code using Python and SQL.
- Support analysis of wearable sensor and time-series data.
- Apply machine learning, deep learning and AI/LLM technologies to support digital health initiatives.
- Monitor data quality, troubleshoot pipeline issues and ensure data is traceable and reproducible.
- Build and maintain internal APIs and data platforms supporting AI and analytics applications.
- Collaborate with data scientists, clinical teams and other stakeholders to support study and research objectives.
- Drive improvements in data processing efficiency, integrity and quality.
- Minimum Degree in Computer Science, Data Engineering, Analytics, AI or related discipline
- Minimum 3 years of experience in Data Engineering, Data Analysis and Algorithm Development
- Strong proficiency in Python and SQL
- Experienced with cloud platforms such as AWS, Azure or GCP
We regret to inform you that only shortlisted candidate will be notified.