Data Engineer (Digital Health, Research Pharmaceutical)

About the Company

An established global pharmaceutical and healthcare organization with a strong focus on medical innovation, clinical research and advanced healthcare technologies is seeking a Data Engineer to join its Singapore team. About the Role Are you passionate about data engineering and healthcare technology? This role offers an exciting opportunity to work with wearable devices, digital health technologies and clinical research data. You will be responsible for developing and maintaining data systems that collect, process and organise health data, supporting clinical studies and the development of innovative healthcare solutions.

Key Responsibilities

• Design, develop and maintain data pipelines to collect, process and manage large volumes of digital health and wearable sensor data. 
• Build data processing workflows and automated quality checks to ensure data accuracy, reliability and consistency.  Manage data ingestion, transformation, storage and delivery. 
• Develop and maintain data processing solutions using Python and SQL. 
• Work with cloud computing platforms such as AWS, Azure or GCP. 
• Support machine learning and algorithm development for digital health applications. 
• Collaborate with data scientists, clinical researchers and cross-functional teams. 
• Identify opportunities to improve data processing efficiency and infrastructure.

Job Requirements

• Master's or PhD in Computer Science, Data Engineering, Data Analytics, Artificial Intelligence, Informatics or a related technical discipline.
• Minimum 3 years of relevant professional experience in data engineering, data analytics or algorithm development.  Strong programming skills in Python and SQL. 
• Experience developing and maintaining data processing pipelines.  Knowledge of data structures, databases and data modelling. 
• Experience with cloud computing platforms such as AWS, Azure or GCP.  Familiarity with machine learning and deep learning concepts. 
• Experience with wearable sensor data, time-series analysis or healthcare technology will be an advantage. 
• Knowledge of generative AI, LLMs or prompt engineering is preferred. What We Offer  Opportunity to work with advanced healthcare and digital technologies. 
• Exposure to innovative AI and machine learning applications. 
• Collaboration with international technical and scientific teams. 
• Opportunity to contribute to healthcare and clinical research innovation.

Business Edge Personnel Services Singapore

EA License No: 96C4864

EA Personnel Reg No: R26159908 (Tan Ying Ying)