Data Science Engineer (Digital Health, Research Pharmaceutical)

About the Company

An established global pharmaceutical and healthcare organization is expanding its digital health capabilities in Singapore, focusing on artificial intelligence, data science and innovative healthcare technologies.

About the Role

We are looking for an experienced Digital Health Data Science Engineer to drive the development of AI-powered healthcare solutions and digital health technologies. In this role, you will work with wearable sensor data, machine learning algorithms and cloud-based platforms to develop meaningful digital health measurements that support clinical research and healthcare innovation. You will also serve as a key technical representative in Singapore, working closely with global engineering, scientific and clinical teams.

Key Responsibilities 

• Design, develop and maintain data pipelines for wearable sensor data and clinical research datasets. 
• Develop machine learning and deep learning algorithms to analyse health data and identify meaningful digital measurements. 
• Work with data from wearable devices and biosensors, including accelerometers, EEG and PPG. 
• Develop algorithms to measure and analyse physical activity, sleep patterns and other health indicators. 
• Validate machine learning models using internal and external datasets. 
• Integrate AI capabilities, including Large Language Models (LLMs), into digital health platforms. 
• Collaborate with global teams across clinical operations, biomedical engineering, data science and product development. 
• Coordinate technical projects and support the implementation of digital health initiatives in Singapore. 
• Ensure data quality, accuracy and reliability throughout the data lifecycle.

Job Requirements 

• Advanced degree in Computer Science, Artificial Intelligence, Data Science, Informatics or a related technical discipline.
• Minimum 5 years of relevant industry experience in data engineering, analytics or algorithm development.  Strong hands-on programming experience in Python, R and SQL. 
• Experience with cloud platforms such as AWS or Azure.  Demonstrated experience in machine learning, deep learning and large-scale data processing. 
• Experience managing complex technical projects and collaborating with geographically distributed teams. 
• Strong communication skills, with the ability to explain technical findings to business and clinical stakeholders.
• Experience in wearable sensors, digital biomarkers or digital health platforms. 
• Knowledge of time-series analysis, deep learning and signal processing.
• Experience integrating LLMs, generative AI or prompt engineering into applications. 
• Familiarity with Agile methodologies and CI/CD pipelines. 
• Experience in healthcare, life sciences or clinical research technology will be an advantage.

Business Edge Personnel Services Singapore

EA License No: 96C4864

EA Personnel Reg No: R26159908 (Tan Ying Ying)