Cardiovascular Data Platform Engineer Research Assistant

National University of Singapore; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A prestigious university in Singapore seeks a Research Assistant (Data Engineer) for a 2-year contract to develop a data platform for cardiovascular research. The role involves data integration, quality assurance, and security measures to manage large healthcare datasets. Ideal candidates have a BSc in a relevant field, proficiency in programming languages, and familiarity with data engineering tools. Strong analytical and communication skills are essential to facilitate interdisciplinary collaboration.

Qualifications

• BSc/BA in a relevant field such as Computer Science or Biomedical Informatics.
• Proficient in programming languages like Java, Python, or C++.
• Experience with modern data engineering tools is essential.

Responsibilities

• Design and maintain a scalable data platform for research.
• Merge data from various sources ensuring integrity and usability.
• Implement methods for data quality collection and validation.
• Protect databases and archives from unauthorized access.
• Establish protocols for responsible data sharing.

Skills

Programming languages (Java, Scala, Rust, Go, C/C++, Python)

Data administration and management functions

Excellent communication skills

Analytical mindset and problem-solving skills

Familiarity with healthcare data

Familiarity with machine learning and artificial intelligence

Education

BSc/BA in Computer Science, Analytics, Biomedical Informatics, or a related field

Tools

Spark

Delta Lake

Iceberg

Cloud computing (AWS, GCP, Azure)

GCP

Azure

Job description

A prestigious university in Singapore seeks a Research Assistant (Data Engineer) for a 2-year contract to develop a data platform for cardiovascular research. The role involves data integration, quality assurance, and security measures to manage large healthcare datasets. Ideal candidates have a BSc in a relevant field, proficiency in programming languages, and familiarity with data engineering tools. Strong analytical and communication skills are essential to facilitate interdisciplinary collaboration.